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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 6.62
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.090
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
79%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
89%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1939.6
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
7399.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
4123.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
3739.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
3434.7
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
3305.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
3202.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2961.6
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2886.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2713.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2664.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2648.8
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
2401.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2385.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
2358.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2354.3
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2297.3
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2264.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
2259.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2254.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
2233.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2187.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2171.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
2039.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2003.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
1950.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1925.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1924.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1919.4
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1888.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1875.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1838.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1794.6
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1787.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1708.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1693.5
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1656.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1624.6
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1548.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1547.3
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1497.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
1465.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1452.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1443.3
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1415.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1410.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1395.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1343.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1324.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1298.2
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1262.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1234.7
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1193.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1189.5
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1103.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1102.6
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1097.9
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1095.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1080.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
997.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
980.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
796.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
772.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
627.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 3.29
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000024
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
70%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
45%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
6977.5
Number of samples
521
Samples
Sample
Description
TPM
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
28248.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
21938.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
17548.3
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
17441.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
16742.6
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
16619.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
16552.9
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
14714.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
14464.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
13751.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
13647.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
13222.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
13117.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
13061.9
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
12859.3
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
12846.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
12819.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
12051.1
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
11971.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
11893.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
11641.8
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
11568.5
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
11427.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
11425.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
11423.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
11007.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
10978.4
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
10925.0
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
10873.3
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
10870.7
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
10846.6
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
10786.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
10778.4
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
10772.5
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
10720.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
10716.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
10714.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
10691.7
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
10677.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
10658.9
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
10597.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
10593.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
10461.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
10411.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
10408.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
10403.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
10399.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
10284.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
10218.0
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
10166.1
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
10096.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
10066.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
10055.0
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
10048.8
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
10033.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
9960.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
9899.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
9865.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
9806.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
9727.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
9682.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
9641.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
9626.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
9535.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
9464.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
9397.6
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
9378.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
9373.4
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
9373.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
9360.4
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
9353.8
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
9333.1
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
9328.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
9287.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
9230.1
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
9154.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
9117.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
9099.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
9074.1
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
9044.2
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
9024.8
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
9001.0
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
8963.9
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
8927.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
8914.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
8898.5
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
8848.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
8826.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
8824.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
8819.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
8812.2
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
8782.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
8731.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
8708.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
8686.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
8683.7
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
8659.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
8647.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
8639.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
8638.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
8625.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
8620.6
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
8609.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
8588.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
8568.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
8562.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
8556.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
8520.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
8496.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
8494.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
8484.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
8475.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
8448.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
8424.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
8420.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
8403.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
8393.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
8392.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
8384.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
8323.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
8307.8
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
8267.5
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
8258.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
8255.2
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
8254.4
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
8250.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
8240.2
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
8211.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
8172.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
8158.1
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
8154.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
8136.8
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
8092.6
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
8057.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
8025.2
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
8020.8
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
8018.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
8007.0
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
7944.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7940.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
7909.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
7897.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7893.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
7889.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
7878.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
7878.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7871.5
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
7853.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
7853.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
7824.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
7823.1
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
7811.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7749.2
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7734.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
7734.5
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
7709.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
7687.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
7686.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
7683.8
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
7660.0
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
7655.1
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
7648.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
7641.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
7630.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
7628.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
7625.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
7614.6
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
7577.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
7569.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
7564.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
7555.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
7555.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
7547.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
7546.7
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
7542.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
7521.4
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
7500.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
7465.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
7458.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
7457.2
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
7450.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
7425.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
7424.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
7416.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
7416.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
7411.2
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
7403.8
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
7401.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
7383.6
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
7375.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
7369.2
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
7348.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
7345.6
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
7335.8
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
7333.3
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
7310.3
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
7299.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
7284.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
7246.9
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7242.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
7238.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
7230.1
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
7216.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
7214.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
7206.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
7174.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
7171.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
7168.6
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7167.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
7123.6
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
7118.4
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
7117.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
7111.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
7107.1
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
7107.0
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
7100.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
7093.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
7088.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
7073.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
7072.5
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
7047.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
7046.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
7041.2
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
7040.8
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
7038.9
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
7030.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
7021.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
7018.4
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
7009.2
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
7008.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
7001.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6990.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
6989.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
6971.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6963.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
6956.4
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
6955.7
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
6949.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
6931.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
6922.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
6920.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
6916.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
6914.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
6908.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
6896.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6893.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
6892.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
6890.4
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
6877.4
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
6876.9
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
6872.5
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
6856.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
6854.5
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
6851.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
6847.9
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
6843.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
6833.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
6791.0
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
6789.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
6783.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
6774.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6766.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
6743.0
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
6738.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
6719.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6717.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6703.9
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6684.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
6664.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
6663.8
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
6658.9
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
6658.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
6638.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
6635.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
6632.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
6599.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
6581.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
6575.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
6573.2
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
6568.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
6565.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
6562.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
6541.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
6509.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
6497.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
6494.7
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6475.4
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
6464.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
6456.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
6416.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
6401.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
6397.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
6395.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
6379.6
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
6374.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
6352.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
6334.2
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
6324.2
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
6318.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
6305.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
6297.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
6296.9
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
6272.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
6272.1
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
6258.0
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
6247.5
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
6246.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
6226.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6210.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
6191.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
6180.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
6176.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6167.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
6166.7
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
6162.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6158.4
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
6129.3
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6124.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
6117.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
6103.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
6092.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
6091.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
6072.2
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
6068.9
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
6047.5
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
6035.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
6033.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
6029.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
6025.4
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
6008.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
6003.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
5980.9
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5976.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
5976.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
5951.8
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
5949.1
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
5946.2
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
5939.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
5910.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
5904.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
5902.5
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
5901.1
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
5881.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
5880.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
5875.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
5810.9
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
5807.6
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5798.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
5790.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
5787.7
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
5770.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
5769.0
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
5762.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
5749.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
5748.6
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
5748.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5748.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5747.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5713.9
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
5701.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
5663.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
5626.6
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
5616.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5606.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
5601.9
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5595.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5594.5
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
5590.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5551.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5548.5
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
5535.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5525.9
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
5522.6
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5508.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
5508.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
5502.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
5497.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
5489.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
5485.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5481.4
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
5479.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
5468.1
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
5444.1
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
5431.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
5430.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
5426.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
5384.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
5362.2
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
5341.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
5337.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5334.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
5331.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
5321.0
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
5311.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5310.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
5309.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5302.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5289.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
5269.7
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
5256.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
5215.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
5205.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
5202.7
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5189.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
5162.1
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
5133.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5130.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
5125.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
5119.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5105.5
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5069.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5069.2
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
5061.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
5056.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
5056.6
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
5041.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5008.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
5006.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5006.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
5003.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4996.8
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
4960.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
4944.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4928.7
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
4906.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4889.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
4889.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
4857.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
4823.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
4796.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4792.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
4785.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4769.0
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
4766.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
4762.5
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
4742.5
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
4736.6
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
4736.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
4707.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4704.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
4694.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
4666.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
4662.1
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4628.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
4612.9
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4603.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
4561.1
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4558.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
4555.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
4542.8
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4499.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
4496.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
4493.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4490.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
4465.4
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
4465.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
4432.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
4363.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4331.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
4289.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
4262.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4259.3
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4256.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
4231.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
4216.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
4189.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
4184.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
4107.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
4101.7
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
4099.2
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
4082.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
4079.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4056.2
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
4049.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
4041.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
4003.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
3988.1
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
3963.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
3926.9
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3919.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
3899.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3897.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3889.7
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3873.9
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3827.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
3708.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3677.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3642.3
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3597.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
3583.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
3567.3
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
3563.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
3557.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
3541.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3513.1
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
3502.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3492.4
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3392.8
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
3390.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
3293.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3183.6
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
3156.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3028.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3026.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3011.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2944.1
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2917.6
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2843.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2843.2
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2811.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2717.8
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2608.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2604.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2552.1
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2267.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2146.0
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1994.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1993.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1839.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1532.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.15
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000013
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
86%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
55%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5368.4
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
10503.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
10135.7
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
9069.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
8529.2
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
8025.2
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
8025.1
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
7819.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
7409.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
7228.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
7102.7
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
6980.7
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
6967.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
6914.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6888.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
6749.9
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
6737.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
6601.6
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
6579.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6512.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
6477.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
6450.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
6430.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
6365.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
6361.7
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
6337.9
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
6299.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6289.3
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
6283.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
6142.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6106.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
6096.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
6089.8
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
6044.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5917.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
5862.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5774.4
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
5727.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
5709.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
5604.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
5571.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
5531.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
5519.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
5515.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
5455.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
5405.0
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5345.4
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
5340.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
5340.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
5279.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
5275.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5252.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
5215.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
5209.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
5170.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
5132.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
5120.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
5112.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
5080.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
5078.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5068.5
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
5043.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
5017.2
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4998.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
4968.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
4954.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
4862.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
4805.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4774.1
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4771.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
4751.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4488.4
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4380.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
4373.2
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
4241.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4236.0
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4232.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4222.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
4210.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4163.6
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4145.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
4122.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4072.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3956.1
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3902.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
3898.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3719.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
3716.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3623.3
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3575.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
3550.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3456.4
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3420.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3411.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3388.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3139.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3103.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
2553.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2540.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2387.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.11
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.16
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
76%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
70%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4048.9
Number of samples
282
Samples
Sample
Description
TPM
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
12556.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
9499.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
9461.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
9441.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
8561.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
8545.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
7947.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
7927.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
7671.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
7598.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
7293.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
7109.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6987.1
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
6933.5
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
6802.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
6713.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
6698.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
6635.7
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
6558.1
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
6557.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6539.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
6449.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
6397.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
6329.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
6296.6
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
6283.7
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
6239.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
6199.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
6189.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
5965.8
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5942.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
5910.0
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
5909.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
5887.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
5857.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
5826.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
5805.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
5799.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
5793.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
5733.7
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
5630.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
5560.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
5555.8
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
5540.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
5512.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
5446.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
5444.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
5435.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
5420.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
5402.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
5383.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
5319.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
5301.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
5275.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
5250.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
5235.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
5221.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
5180.8
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
5121.1
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
5119.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
5067.4
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
5064.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
5055.9
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5042.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
4999.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
4983.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
4971.0
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4939.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
4937.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
4908.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
4900.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4896.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4891.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
4889.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
4850.9
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
4836.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4823.5
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4822.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
4813.3
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
4767.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
4767.2
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
4766.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4718.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
4709.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
4707.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
4698.4
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
4688.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
4681.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
4664.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4636.5
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
4622.0
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4605.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
4601.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4598.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
4577.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
4549.1
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
4517.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
4515.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4492.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
4491.7
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
4483.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4472.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
4434.8
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
4434.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
4410.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
4349.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
4333.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
4328.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4318.8
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
4308.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
4303.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4294.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4293.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4287.5
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
4273.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
4257.4
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4244.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
4200.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4196.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4191.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
4167.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
4159.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4158.8
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
4154.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
4145.1
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4133.6
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4118.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
4109.1
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
4102.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
4092.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4091.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
4082.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
4038.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
3987.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
3982.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
3979.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3972.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
3970.1
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3934.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
3930.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3908.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3896.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3884.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
3855.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3853.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3843.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3838.6
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
3834.8
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
3810.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3803.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3793.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3789.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
3783.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
3772.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3726.5
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3713.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3678.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
3648.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3644.9
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3625.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3622.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
3621.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3616.8
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
3596.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
3594.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
3565.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
3565.1
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
3546.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3540.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3539.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3531.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3521.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3511.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
3471.2
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
3421.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3408.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3405.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3388.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3357.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3352.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
3343.5
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
3333.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3329.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3326.3
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
3313.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3277.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
3275.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
3263.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3262.8
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
3262.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
3260.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
3258.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3225.3
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3214.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3211.1
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3182.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
3164.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
3154.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3146.8
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
3120.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3100.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
3092.0
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
3090.6
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3079.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3076.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3017.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2974.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2973.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2971.8
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
2946.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2944.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
2929.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2914.0
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2880.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2878.9
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
2868.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
2868.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2862.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2849.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2830.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2821.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
2800.5
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
2785.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
2743.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2743.6
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2740.3
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2734.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2717.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
2713.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
2682.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
2634.1
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
2628.0
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2583.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
2547.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2517.6
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
2471.3
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
2459.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2444.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2371.8
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2347.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
2341.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
2326.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2319.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2315.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
2311.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2273.6
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
2272.7
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
2239.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2229.4
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
2206.2
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
2165.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
2146.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2115.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2080.6
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2046.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2013.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1958.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1920.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1917.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
1900.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1895.5
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1895.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1866.1
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
1765.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1674.1
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1653.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1646.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1640.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1510.4
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1424.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1422.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
1417.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1406.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1395.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1312.3
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1296.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1183.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1151.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1079.1
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
1007.2
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
858.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
743.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0081880003
Tumor
0.7
CPT0088550004
Tumor
0.6
CPT0021240003
Tumor
0.6
CPT0025050003
Tumor
0.6
CPT0023350003
Tumor
0.6
CPT0084560003
Tumor
0.6
CPT0076330003
Tumor
0.5
CPT0000640003
Tumor
0.5
CPT0012280003
Tumor
0.5
CPT0012550003
Tumor
0.5
CPT0001540009
Tumor
0.5
CPT0017410003
Tumor
0.5
CPT0014160003
Tumor
0.5
CPT0079410003
Tumor
0.5
CPT0001500009
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0012670003
Tumor
0.4
CPT0014450004
Tumor
0.4
CPT0077110003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0069000003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0086030003
Tumor
0.4
CPT0088480003
Tumor
0.4
CPT0012080003
Tumor
0.4
CPT0024670003
Tumor
0.4
CPT0065690003
Tumor
0.4
CPT0011410003
Tumor
0.4
CPT0017850003
Tumor
0.4
CPT0015810003
Tumor
0.4
CPT0001260009
Tumor
0.3
CPT0092290003
Tumor
0.3
CPT0075130003
Tumor
0.3
CPT0065870003
Tumor
0.3
CPT0007860003
Tumor
0.3
CPT0079380003
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0066480003
Tumor
0.3
CPT0077310003
Tumor
0.3
CPT0000870016
Tumor
0.3
CPT0063630003
Tumor
0.3
CPT0065810003
Tumor
0.3
CPT0006630003
Tumor
0.3
CPT0011240003
Tumor
0.3
CPT0012900004
Tumor
0.3
CPT0007320003
Tumor
0.3
CPT0009060003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0010160003
Tumor
0.2
CPT0079270003
Tumor
0.2
CPT0006440003
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0088970003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0065430003
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0078510003
Tumor
0.2
CPT0092730003
Tumor
0.2
CPT0015730003
Tumor
0.2
CPT0065750003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0066470004
Tumor
0.2
CPT0089460004
Tumor
0.2
CPT0087040003
Tumor
0.2
CPT0075560003
Tumor
0.1
CPT0077490003
Tumor
0.1
CPT0010110003
Tumor
0.1
CPT0078800003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0078830003
Tumor
0.1
CPT0006900003
Tumor
0.1
CPT0081600003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0078990003
Tumor
0.1
CPT0001180009
Tumor
0.1
CPT0065930003
Tumor
0.1
CPT0020120003
Tumor
0.1
CPT0078530001
Normal
0.1
CPT0086360003
Tumor
0.1
CPT0014370004
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0001340003
Tumor
0.1
CPT0092790003
Tumor
0.1
CPT0064370003
Tumor
0.1
CPT0084590001
Normal
0.1
CPT0075720003
Tumor
0.1
CPT0077320001
Normal
0.1
CPT0079230003
Tumor
0.1
CPT0019130003
Tumor
0.1
CPT0002350011
Tumor
0.1
CPT0088760003
Tumor
0.1
CPT0088690003
Tumor
0.0
CPT0012180003
Tumor
0.0
CPT0088630003
Tumor
0.0
CPT0079180003
Tumor
0.0
CPT0079480003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0014470001
Normal
0.0
CPT0025060001
Normal
0.0
CPT0015910003
Tumor
0.0
CPT0024680001
Normal
0.0
CPT0025350003
Tumor
0.0
CPT0018250001
Normal
0.0
CPT0066430001
Normal
0.0
CPT0085670003
Tumor
0.0
CPT0086870003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0025580004
Tumor
0.0
CPT0000890001
Normal
0.0
CPT0078930003
Tumor
0.0
CPT0017450001
Normal
0.0
CPT0026420001
Normal
0.0
CPT0025110003
Tumor
-0.1
CPT0010120001
Normal
-0.1
CPT0012920003
Normal
-0.1
CPT0025170003
Tumor
-0.1
CPT0020130001
Normal
-0.1
CPT0087050003
Normal
-0.1
CPT0075170001
Normal
-0.1
CPT0025610001
Normal
-0.1
CPT0075570001
Normal
-0.1
CPT0025880003
Tumor
-0.1
CPT0012570003
Normal
-0.1
CPT0076350001
Normal
-0.1
CPT0092740003
Normal
-0.1
CPT0063640001
Normal
-0.1
CPT0063320003
Tumor
-0.1
CPT0002270011
Tumor
-0.1
CPT0086820003
Tumor
-0.1
CPT0089040001
Normal
-0.1
CPT0086950003
Tumor
-0.1
CPT0023360001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0006950001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0009080003
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0012090003
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0001270001
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0023690003
Tumor
-0.2
CPT0009020003
Normal
-0.2
CPT0088780001
Normal
-0.2
CPT0013790003
Normal
-0.2
CPT0007470001
Normal
-0.2
CPT0081620001
Normal
-0.2
CPT0014130001
Normal
-0.2
CPT0082010001
Normal
-0.2
CPT0006530001
Normal
-0.2
CPT0065450001
Normal
-0.2
CPT0079300001
Normal
-0.2
CPT0088570001
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0086970003
Normal
-0.2
CPT0077500001
Normal
-0.2
CPT0020020001
Normal
-0.2
CPT0000660001
Normal
-0.2
CPT0069010001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0012640003
Normal
-0.2
CPT0078660003
Tumor
-0.2
CPT0069190001
Normal
-0.2
CPT0088710001
Normal
-0.2
CPT0006730001
Normal
-0.2
CPT0023710001
Normal
-0.2
CPT0063330001
Normal
-0.2
CPT0000790001
Normal
-0.2
CPT0078670001
Normal
-0.2
CPT0077140001
Normal
-0.2
CPT0086370003
Normal
-0.2
CPT0001350001
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0065820001
Normal
-0.3
CPT0001190001
Normal
-0.3
CPT0078940001
Normal
-0.3
CPT0002370001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0089480003
Normal
-0.3
CPT0001510001
Normal
-0.3
CPT0007870001
Normal
-0.3
CPT0001550001
Normal
-0.3
CPT0092800003
Normal
-0.3
CPT0025920001
Normal
-0.3
CPT0088500001
Normal
-0.3
CPT0086830003
Normal
-0.3
CPT0010170001
Normal
-0.3
CPT0001230001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0088640003
Normal
-0.4
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.