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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.
RPL31 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
932.3
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
10370.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2274.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1705.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
1676.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1606.3
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1510.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1471.5
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1444.9
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1338.8
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1264.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1262.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1160.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1159.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1148.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1070.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1035.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
995.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
986.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
977.8
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
975.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
973.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
943.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
930.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
923.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
901.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
899.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
872.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
872.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
868.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
852.8
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
835.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
830.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
812.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
800.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
745.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
744.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
739.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
663.9
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
646.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
633.5
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
569.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
569.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
510.7
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
509.5
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
445.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
432.0
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
414.5
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
391.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
374.1
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
333.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
301.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
294.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
290.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
280.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
262.5
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
254.7
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
253.6
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
232.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
215.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
197.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
196.3
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
190.5
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
124.3
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.
RPL31 is potential 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
2584.8
Number of samples
521
Samples
Sample
Description
TPM
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
10145.5
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
6260.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5722.3
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5410.5
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
5402.1
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5208.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5184.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5066.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
5061.1
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4859.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
4858.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4856.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4844.4
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4838.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4752.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4681.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
4637.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4634.0
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4594.4
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4571.8
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4512.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4507.5
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4460.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4452.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4400.7
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4394.6
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4368.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4319.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
4277.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4261.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
4258.1
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4188.2
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4179.8
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
4105.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4100.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4079.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4055.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3962.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3950.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3945.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3922.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3908.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3899.4
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3872.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3861.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3834.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3792.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3779.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3777.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3768.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3761.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3756.9
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3737.8
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3736.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
3717.4
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3710.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3684.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3682.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3663.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3660.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3650.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3617.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3613.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3607.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3596.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3595.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3571.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3566.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3556.7
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3543.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3542.7
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3514.4
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3488.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3481.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
3476.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3473.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3468.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3464.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3452.3
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3443.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3435.5
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3425.8
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3419.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3402.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3400.9
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3377.9
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3359.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3359.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3347.2
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3345.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3326.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3326.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3324.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3319.6
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
3316.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3308.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3306.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3303.6
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3294.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3285.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3283.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3279.4
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3262.2
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3253.1
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
3252.8
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3251.0
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3250.8
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3243.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3239.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3237.9
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3222.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3217.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3213.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3204.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3199.1
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3191.8
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3178.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3163.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3158.8
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3155.6
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3147.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3145.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3130.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3130.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3130.1
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3113.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3109.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3108.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3103.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3101.4
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3095.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3063.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3062.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3062.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3038.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3032.6
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3025.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3019.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3011.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
3004.6
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3004.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2995.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2990.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2988.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2981.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2980.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2975.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2970.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2969.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2967.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2955.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2950.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2943.6
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
2929.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2924.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2916.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2914.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
2908.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2905.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2904.3
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2903.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2898.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2894.3
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2885.3
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2882.3
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2881.8
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2855.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
2855.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2854.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2848.1
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2842.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2842.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2836.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2833.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2816.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2812.8
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2810.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
2805.4
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2804.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2799.5
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2786.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2780.8
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2775.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2764.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2757.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2757.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2753.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2752.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2749.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2740.4
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2738.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2732.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
2731.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2725.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2722.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2718.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2711.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2711.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2707.2
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2693.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2691.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2690.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2687.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2683.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2681.8
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2677.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2677.1
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
2676.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2669.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2665.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2662.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2659.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2656.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2647.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2645.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2644.4
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2641.4
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2636.9
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2630.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
2625.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2622.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2619.8
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2616.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2614.6
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2611.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2601.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2599.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2589.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2587.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2585.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2582.4
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2582.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2577.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2573.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2572.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2571.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2570.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2564.7
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2557.4
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
2555.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2555.1
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2554.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2552.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2547.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2545.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2540.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2539.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2536.7
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2528.4
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2528.1
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2522.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2517.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2515.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2513.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2512.0
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2508.1
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2503.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2501.7
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2501.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2491.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2488.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2485.0
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2478.3
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2474.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2473.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2472.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2463.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2458.6
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2448.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2437.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2432.9
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2422.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2413.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2406.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2405.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2404.4
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2398.7
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2398.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2395.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2392.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2389.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2385.4
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2382.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2377.9
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2372.8
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2370.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2369.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
2368.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2367.1
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2365.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2358.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2354.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2349.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2345.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2339.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2330.7
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2329.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2326.5
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2324.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2324.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2321.0
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2317.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2300.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2299.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2295.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2293.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2292.9
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2288.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2282.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2277.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2276.2
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2270.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2268.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2266.8
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2261.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2260.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2260.1
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2256.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2256.7
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2254.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2250.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2248.5
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2242.5
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2240.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2238.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
2238.1
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2235.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2233.4
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2230.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2228.8
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2223.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2223.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2221.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2210.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2208.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2206.7
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2206.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2202.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2202.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2201.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2200.1
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2194.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2193.8
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2190.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2186.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2180.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2172.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2164.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2157.5
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2153.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2153.0
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2147.9
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2141.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2131.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2120.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2109.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2109.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2104.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2100.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2086.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2085.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2074.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2069.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2068.1
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2066.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2065.3
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2054.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2048.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2047.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2040.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2035.5
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2033.8
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2029.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2024.8
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2021.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2014.5
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2010.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2005.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2002.6
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1997.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
1996.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1994.0
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1991.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1988.8
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1988.4
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1986.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1967.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1966.7
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
1963.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1962.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1955.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1955.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1954.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1954.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1950.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1946.0
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
1938.3
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
1936.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1931.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1927.2
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1926.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1925.7
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1921.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1920.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1911.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1911.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1907.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
1901.7
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1901.6
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1900.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1898.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1897.5
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1894.6
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1875.3
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1839.3
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1830.3
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1818.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
1817.8
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1814.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1813.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1811.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1810.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1809.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1808.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1783.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1770.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1769.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1762.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1756.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1756.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1754.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1752.7
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1747.2
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1743.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1735.9
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1733.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1732.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1732.0
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1711.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1705.7
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1701.5
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1700.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1695.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1694.5
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1693.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1685.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1683.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1666.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1662.8
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1662.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1643.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1636.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1597.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1594.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1585.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1580.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1573.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1570.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1569.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1566.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1562.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1558.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1553.8
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1538.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1535.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1534.0
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1525.3
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1510.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1505.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1499.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1498.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1496.1
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1495.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1485.8
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1483.4
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1472.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1470.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1469.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1465.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1460.8
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1458.5
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1457.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1433.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1410.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1371.8
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1359.0
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1358.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1342.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1333.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1314.3
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1310.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1293.7
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1288.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1287.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1287.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1272.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1259.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1229.5
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1164.3
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1143.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1142.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1135.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1134.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1100.0
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1097.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1095.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1086.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1066.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1037.1
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1010.2
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
990.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
960.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
924.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
916.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
906.9
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
868.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
821.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
617.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
613.3
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
604.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 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.
RPL31 is not prognostic 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
2656.7
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5547.4
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
5359.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
5260.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4996.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4389.8
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4352.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4310.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4226.1
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
4224.2
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3968.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3735.6
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3679.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3608.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3575.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3555.4
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3539.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3519.0
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3409.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3240.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3202.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3192.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3189.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3157.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3154.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3067.4
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3038.8
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3018.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3007.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2981.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2953.9
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2952.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2943.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2852.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2849.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2722.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2662.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2654.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2647.6
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2642.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2602.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2558.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2557.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2539.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2523.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2523.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2513.4
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2498.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2490.6
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2448.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2447.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2432.0
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2429.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2424.4
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2421.0
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2399.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2357.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2355.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2343.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2341.5
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2298.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2298.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2290.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2269.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2264.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2253.6
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2244.7
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2235.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2230.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2215.7
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2197.2
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2196.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2193.1
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2147.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2147.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2141.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2128.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2111.2
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2104.2
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2099.1
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2080.7
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2057.0
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2052.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2013.6
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1891.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1880.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1775.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1773.4
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1741.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1730.6
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1729.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1684.4
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1641.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1627.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1576.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1514.2
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1494.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1486.2
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1277.1
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1059.5
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.
RPL31 is potential prognostic, high expression is unfavorable 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
1581.3
Number of samples
282
Samples
Sample
Description
TPM
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6478.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
5125.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
5036.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4534.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4349.9
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4239.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4169.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4126.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4092.3
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3806.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3779.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3664.9
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3549.2
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3368.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3303.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3198.3
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3196.7
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3025.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2851.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2833.3
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2804.5
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2791.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2789.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2743.0
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2709.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2671.2
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2642.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2604.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2599.5
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2587.7
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2586.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2581.8
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2574.7
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2559.1
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2552.0
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
2536.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2524.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2519.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2499.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2486.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2484.6
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2459.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2416.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2397.6
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2353.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2336.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2312.8
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2286.0
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2278.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2270.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2258.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2244.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2224.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2217.6
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2207.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2201.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2170.4
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2145.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2144.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2117.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2114.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2082.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2077.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2066.7
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2065.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2061.8
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2026.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2021.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2013.8
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2002.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1998.4
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1993.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1992.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1984.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1979.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1972.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1968.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1959.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1955.0
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1953.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1953.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1950.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1934.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1911.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1906.1
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1903.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1896.4
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1895.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
1878.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1877.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1870.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1869.2
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1867.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1834.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1828.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1825.7
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1823.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1819.1
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1818.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1818.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1814.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1814.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1810.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1795.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1792.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1787.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1780.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1764.4
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1762.4
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1759.7
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1759.2
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1755.7
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1748.5
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1747.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1740.2
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1737.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1704.4
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1691.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1685.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1681.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1680.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1677.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1670.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1655.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1643.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1631.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1627.8
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1625.0
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1621.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1621.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1619.9
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1606.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1605.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1597.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1595.4
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1593.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1591.2
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1583.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1573.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1573.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1573.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1572.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1571.1
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1570.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1555.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1552.6
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1552.3
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1534.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1531.7
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1527.1
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1526.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1514.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1512.7
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1510.1
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1504.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1497.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1494.4
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1486.9
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1472.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1464.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1454.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1444.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1443.6
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1430.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1424.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1419.4
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1408.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1396.0
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1388.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1363.6
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1361.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1318.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1317.4
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1316.0
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1308.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1273.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1270.4
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1263.7
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1250.4
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1240.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1219.3
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1206.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1193.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1188.5
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1180.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1177.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1155.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1142.2
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1140.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1137.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1135.7
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1134.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1133.2
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1132.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1118.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1079.2
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1070.1
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1069.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1053.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1045.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1044.8
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1010.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1007.1
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
999.4
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
984.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
981.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
968.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
955.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
912.1
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
901.4
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
893.0
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
891.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
890.1
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
868.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
846.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
814.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
736.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
724.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
714.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
675.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
644.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
618.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
611.7
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
609.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
591.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
575.4
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
560.0
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
550.0
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
546.9
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
540.9
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
540.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
516.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
514.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
509.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
506.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
504.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
492.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
488.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
487.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
481.9
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
478.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
476.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
473.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
468.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
464.7
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
454.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
454.6
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
451.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
433.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
430.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
430.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
420.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
419.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
418.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
409.8
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
409.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
404.7
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
400.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
384.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
380.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
370.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
369.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
359.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
351.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
349.6
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
343.9
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
338.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
328.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
325.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
319.9
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
312.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
309.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
307.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
297.6
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
292.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
292.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
253.1
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
243.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
184.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
181.6
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
121.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
73.4
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
1.1
CPT0088550004
Tumor
0.9
CPT0002350011
Tumor
0.8
CPT0017850003
Tumor
0.8
CPT0065930003
Tumor
0.7
CPT0084560003
Tumor
0.7
CPT0011410003
Tumor
0.6
CPT0088970003
Tumor
0.5
CPT0092730003
Tumor
0.5
CPT0012550003
Tumor
0.5
CPT0081990003
Tumor
0.5
CPT0089460004
Tumor
0.4
CPT0001180009
Tumor
0.4
CPT0012180003
Tumor
0.4
CPT0002270011
Tumor
0.4
CPT0086030003
Tumor
0.4
CPT0088760003
Tumor
0.4
CPT0075130003
Tumor
0.4
CPT0063630003
Tumor
0.4
CPT0084590001
Normal
0.4
CPT0076330003
Tumor
0.4
CPT0078830003
Tumor
0.3
CPT0088690003
Tumor
0.3
CPT0066470004
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0009000003
Tumor
0.3
CPT0086820003
Tumor
0.3
CPT0086950003
Tumor
0.3
CPT0025230003
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0079410003
Tumor
0.3
CPT0025110003
Tumor
0.3
CPT0014450004
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0024670003
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0092290003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0088480003
Tumor
0.2
CPT0079510001
Normal
0.2
CPT0001260009
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0024680001
Normal
0.2
CPT0015810003
Tumor
0.2
CPT0069000003
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0081880003
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0001540009
Tumor
0.2
CPT0025170003
Tumor
0.2
CPT0025050003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0025290003
Tumor
0.2
CPT0023350003
Tumor
0.2
CPT0065750003
Tumor
0.2
CPT0001270001
Normal
0.2
CPT0082010001
Normal
0.2
CPT0025880003
Tumor
0.1
CPT0012080003
Tumor
0.1
CPT0092800003
Normal
0.1
CPT0088630003
Tumor
0.1
CPT0078660003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0025350003
Tumor
0.1
CPT0000640003
Tumor
0.1
CPT0077490003
Tumor
0.1
CPT0066480003
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0086970003
Normal
0.1
CPT0010160003
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0079380003
Tumor
0.1
CPT0063320003
Tumor
0.1
CPT0010110003
Tumor
0.1
CPT0011240003
Tumor
0.1
CPT0071150004
Tumor
0.1
CPT0069190001
Normal
0.1
CPT0021240003
Tumor
0.1
CPT0078530001
Normal
0.1
CPT0019990003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0001190001
Normal
0.1
CPT0086360003
Tumor
0.1
CPT0065870003
Tumor
0.1
CPT0088500001
Normal
0.1
CPT0088900003
Tumor
0.1
CPT0001550001
Normal
0.0
CPT0075570001
Normal
0.0
CPT0020120003
Tumor
0.0
CPT0001500009
Tumor
0.0
CPT0012280003
Tumor
0.0
CPT0001350001
Normal
0.0
CPT0007320003
Tumor
0.0
CPT0019130003
Tumor
0.0
CPT0065690003
Tumor
0.0
CPT0085670003
Tumor
0.0
CPT0017410003
Tumor
0.0
CPT0088920001
Normal
0.0
CPT0079180003
Tumor
0.0
CPT0079230003
Tumor
0.0
CPT0086830003
Normal
0.0
CPT0015730003
Tumor
0.0
CPT0079270003
Tumor
0.0
CPT0012290003
Normal
0.0
CPT0088780001
Normal
0.0
CPT0015910003
Tumor
0.0
CPT0012370003
Tumor
0.0
CPT0018250001
Normal
0.0
CPT0000870016
Tumor
0.0
CPT0079480003
Tumor
0.0
CPT0007860003
Tumor
-0.1
CPT0069010001
Normal
-0.1
CPT0007470001
Normal
-0.1
CPT0086370003
Normal
-0.1
CPT0014470001
Normal
-0.1
CPT0010170001
Normal
-0.1
CPT0020130001
Normal
-0.1
CPT0025580004
Tumor
-0.1
CPT0023690003
Tumor
-0.1
CPT0088570001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0012640003
Normal
-0.1
CPT0064370003
Tumor
-0.1
CPT0014130001
Normal
-0.1
CPT0025060001
Normal
-0.1
CPT0006630003
Tumor
-0.1
CPT0078840001
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0078800003
Tumor
-0.1
CPT0092160003
Tumor
-0.1
CPT0065820001
Normal
-0.1
CPT0078990003
Tumor
-0.1
CPT0075560003
Tumor
-0.1
CPT0087050003
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0012090003
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0017450001
Normal
-0.1
CPT0006900003
Tumor
-0.1
CPT0025610001
Normal
-0.1
CPT0065810003
Tumor
-0.1
CPT0078510003
Tumor
-0.1
CPT0006440003
Tumor
-0.1
CPT0012920003
Normal
-0.1
CPT0014160003
Tumor
-0.2
CPT0089480003
Normal
-0.2
CPT0086870003
Tumor
-0.2
CPT0026420001
Normal
-0.2
CPT0012570003
Normal
-0.2
CPT0019160001
Normal
-0.2
CPT0000890001
Normal
-0.2
CPT0088640003
Normal
-0.2
CPT0089040001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0009060003
Tumor
-0.2
CPT0079300001
Normal
-0.2
CPT0006950001
Normal
-0.2
CPT0063640001
Normal
-0.2
CPT0014370004
Tumor
-0.2
CPT0077500001
Normal
-0.2
CPT0078930003
Tumor
-0.2
CPT0013790003
Normal
-0.2
CPT0078940001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0001510001
Normal
-0.2
CPT0092740003
Normal
-0.2
CPT0020020001
Normal
-0.3
CPT0000660001
Normal
-0.3
CPT0006530001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0063330001
Normal
-0.3
CPT0006730001
Normal
-0.3
CPT0087040003
Tumor
-0.3
CPT0077310003
Tumor
-0.3
CPT0023710001
Normal
-0.3
CPT0088710001
Normal
-0.3
CPT0007870001
Normal
-0.3
CPT0009080003
Normal
-0.3
CPT0066430001
Normal
-0.3
CPT0025920001
Normal
-0.3
CPT0001230001
Normal
-0.3
CPT0077140001
Normal
-0.3
CPT0066520001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0023360001
Normal
-0.4
CPT0000790001
Normal
-0.4
CPT0012770003
Normal
-0.4
CPT0092310003
Normal
-0.5
CPT0065450001
Normal
-0.5
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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.
The Human Protein Atlas project is funded
