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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.
EEF1A1 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 6.62
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.18
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.
94%
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.
82%
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
2025.5
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
10891.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
7344.9
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
5598.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
4212.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3851.1
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3593.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
3583.8
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
3474.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
3418.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
3140.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
3003.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2988.0
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2986.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
2918.5
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2900.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2889.3
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2846.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2832.6
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2812.4
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2739.5
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
2628.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2625.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2616.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2591.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2545.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
2533.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2520.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2454.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2451.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
2421.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2206.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2149.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2087.8
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1968.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1965.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1946.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1938.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1785.5
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1770.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1667.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1638.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1382.1
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
299.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
294.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
281.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
277.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
273.0
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
257.0
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
228.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
200.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
191.7
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
164.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
157.0
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
152.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
147.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
144.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
132.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
90.7
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
90.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
87.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
85.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
68.1
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
61.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EEF1A1 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 3.29
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000020
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
70%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
51%
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
7228.9
Number of samples
521
Samples
Sample
Description
TPM
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
17744.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
17682.2
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
17228.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
16592.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
16590.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
16314.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
15915.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
15846.4
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
15839.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
15707.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
13719.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
13516.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
13427.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
13331.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
13287.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
13173.9
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
13110.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
13007.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12963.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
12952.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
12899.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
12863.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
12744.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
12682.1
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
12484.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
12483.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
12431.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
12269.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
12141.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
12099.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
12079.1
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
12024.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
12004.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
11998.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
11898.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
11628.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
11581.4
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
11501.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
11492.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
11455.2
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
11409.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
11400.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
11388.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
11339.6
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
11243.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
11124.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
11100.3
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
11076.5
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
11073.7
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
11031.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
10924.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
10888.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
10861.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
10840.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
10827.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
10816.3
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
10816.1
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
10787.2
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
10764.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
10690.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
10679.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
10677.8
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
10598.4
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
10577.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
10544.6
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
10531.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
10501.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
10499.9
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
10487.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
10457.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
10413.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
10345.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
10320.7
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
10295.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
10274.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
10266.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
10266.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
10260.9
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
10254.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
10249.5
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
10245.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
10228.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
10228.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
10112.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
10079.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
9943.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
9942.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
9909.8
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
9898.7
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
9890.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
9882.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
9871.5
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
9861.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
9833.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
9833.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
9771.6
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
9770.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
9763.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
9727.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
9642.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
9629.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
9608.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
9562.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
9556.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
9541.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
9527.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
9512.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
9473.5
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
9467.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
9451.6
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
9363.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
9350.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
9342.3
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
9322.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
9287.8
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
9282.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
9267.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
9228.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
9224.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
9218.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
9204.9
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
9202.6
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
9149.5
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
9133.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
9099.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
9067.7
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
9060.3
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
9044.3
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
9035.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
9031.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
8999.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
8997.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
8995.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
8990.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
8990.5
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
8984.5
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
8978.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
8977.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
8976.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
8940.6
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
8936.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
8931.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8914.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8914.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
8906.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
8875.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
8872.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
8851.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
8828.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
8822.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
8785.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
8772.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
8766.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
8701.5
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
8698.5
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
8685.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
8665.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
8651.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
8647.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
8641.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
8641.5
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
8631.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
8609.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
8604.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
8602.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
8596.8
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
8576.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
8573.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
8564.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
8535.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
8526.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
8516.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
8495.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
8489.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
8442.8
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
8411.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
8391.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
8367.3
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
8350.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
8345.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
8328.7
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
8320.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
8313.0
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
8310.1
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
8299.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
8297.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
8291.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
8283.2
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
8281.1
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
8247.5
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
8220.5
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
8192.6
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
8179.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
8168.3
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
8162.0
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
8151.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
8096.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
8072.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
8067.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
8049.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
8031.9
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
8021.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
8003.5
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
7982.4
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
7979.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
7972.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
7957.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
7957.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
7955.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
7954.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
7929.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
7919.8
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
7914.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
7910.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
7906.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
7873.3
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
7861.8
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
7860.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
7851.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
7850.3
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
7843.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
7827.0
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
7816.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
7811.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
7777.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
7765.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
7758.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
7756.4
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
7742.4
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
7723.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7698.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
7692.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7686.0
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
7652.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
7642.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
7639.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
7624.0
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
7607.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
7591.9
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7543.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
7504.0
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
7503.6
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
7452.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
7441.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
7425.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
7402.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
7386.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
7372.9
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
7364.6
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
7335.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
7328.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
7291.4
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
7274.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
7265.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7243.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
7226.5
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
7195.9
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
7162.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
7148.3
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
7132.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
7124.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
7123.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
7098.6
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
7093.7
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
7090.0
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
7087.9
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
7074.2
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
7072.3
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
7060.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
7054.1
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
7051.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
7048.4
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
6977.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
6966.3
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
6944.9
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
6944.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
6933.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
6932.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
6931.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
6898.0
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6880.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6873.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
6865.8
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
6823.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
6742.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
6729.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
6729.3
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
6723.0
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
6722.7
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
6717.7
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
6705.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
6694.5
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
6694.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
6689.6
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
6687.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6686.8
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
6636.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
6626.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
6618.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
6600.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
6582.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6572.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6568.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
6561.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
6538.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
6533.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
6512.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
6500.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
6467.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
6460.0
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
6416.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
6412.1
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
6405.5
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
6356.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
6285.9
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
6284.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
6283.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
6233.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
6225.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
6207.3
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
6199.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
6187.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
6185.1
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
6184.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6162.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6162.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
6157.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
6137.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
6125.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6106.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6074.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6047.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
6026.9
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
6018.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
6012.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
5988.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
5972.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
5965.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5940.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
5905.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5899.6
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
5883.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5880.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
5849.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
5847.5
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
5827.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
5826.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5825.8
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
5764.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
5749.5
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5748.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5744.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5735.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
5694.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
5678.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
5641.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
5618.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
5618.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5598.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
5571.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5565.9
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5561.0
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
5505.7
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
5472.1
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
5427.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
5419.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
5388.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5369.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
5361.1
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
5305.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
5300.8
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
5298.2
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
5296.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
5285.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
5273.7
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5246.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5230.4
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
5218.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
5175.4
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
5105.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
5047.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
5025.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4970.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
4919.7
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4902.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
4901.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
4855.0
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
4846.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
4817.8
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
4801.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
4798.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
4793.6
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
4758.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
4749.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4737.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
4722.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4713.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4678.0
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
4633.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4627.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
4618.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
4604.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4601.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4582.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
4566.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
4565.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
4562.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
4553.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
4545.8
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
4545.8
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
4529.2
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4503.2
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
4467.0
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
4444.2
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
4425.2
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
4362.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
4354.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
4347.2
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
4319.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
4301.4
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
4283.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
4275.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4234.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
4229.0
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4217.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
4216.3
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4191.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
4139.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4127.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
4123.8
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4113.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
4108.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
4085.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
4066.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
4064.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
4053.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
4052.5
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4014.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
4005.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3991.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
3975.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
3975.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3960.7
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3946.9
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3917.5
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3915.6
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3905.8
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3887.8
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3855.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3835.6
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
3813.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
3810.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
3801.6
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
3788.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3778.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
3758.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
3731.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
3682.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3671.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3665.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
3660.6
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
3605.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3586.9
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
3570.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3549.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3532.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
3451.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3417.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
3397.7
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3382.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3338.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
3326.9
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
3315.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
3313.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
3199.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3194.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3187.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3156.7
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
3145.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
3100.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
3081.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3028.2
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
3026.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
3025.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
2991.7
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2968.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2955.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
2943.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2919.3
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2913.4
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2890.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2851.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2817.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
2814.1
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2796.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2759.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2750.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
2703.7
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2694.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2693.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2691.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2690.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2663.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2505.6
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2502.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2466.8
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2466.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2378.2
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2348.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2338.7
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2026.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2000.2
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1988.5
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1676.7
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1609.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1533.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1503.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1381.6
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1177.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1151.1
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 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.
EEF1A1 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.15
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.00065
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.
92%
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.
61%
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
8511.2
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
18154.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
14479.5
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
14117.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
13444.6
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
13189.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
12989.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
12805.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
12355.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
12232.6
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
12204.7
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
11467.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
11340.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
11325.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
11188.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
11031.1
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
10907.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
10850.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
10787.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
10776.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
10647.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
10611.2
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
10390.6
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
10384.8
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
10338.0
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
10203.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
10168.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
10167.3
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
10144.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
10125.2
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
10117.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
10108.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
10095.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
9994.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
9959.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
9933.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
9607.1
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
9605.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
9598.0
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
9484.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
9222.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
9157.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
9121.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9110.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
8998.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
8944.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
8804.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
8777.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
8751.2
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
8728.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
8264.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
8210.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
8183.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
7913.0
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
7864.0
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
7808.4
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
7749.8
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
7748.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
7735.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
7725.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
7684.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
7553.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
7537.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
7229.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
7228.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
7206.1
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
7169.3
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
7162.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
7082.2
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
6861.5
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6843.0
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
6777.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
6761.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
6732.8
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
6712.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
6670.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
6661.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
6542.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
6399.0
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6282.4
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
6242.9
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
5987.4
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5799.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
5759.5
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
5731.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
5645.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
5611.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5403.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
5394.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5323.0
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
5306.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5224.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
5201.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4987.0
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
4743.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
4535.9
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
4280.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4150.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
4090.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
3371.2
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.
EEF1A1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.11
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.087
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.
72%
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.
79%
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
3750.9
Number of samples
282
Samples
Sample
Description
TPM
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
15648.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
9469.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
9464.6
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
9188.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
9032.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
8453.8
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
8372.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
8226.8
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
8173.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
8087.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
8039.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
7932.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
7893.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
7820.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
7642.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
7496.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
7393.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
7334.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
7332.2
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
7249.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
7087.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
7066.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
7008.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
6967.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
6932.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
6911.5
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
6866.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
6847.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
6741.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
6722.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6644.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6630.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
6609.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
6550.9
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
6533.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
6516.0
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
6442.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
6406.9
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
6304.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
6300.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
6278.6
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
6258.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
6211.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
6204.0
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
6113.6
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
6111.8
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
6075.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
6032.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
6013.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5994.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
5968.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
5963.5
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
5907.9
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
5905.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
5903.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
5879.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
5866.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
5851.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
5835.8
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
5831.0
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
5804.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
5790.4
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
5782.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
5778.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
5761.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5747.8
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
5740.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
5732.9
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
5732.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
5713.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
5709.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5687.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
5677.6
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
5670.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
5652.2
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5597.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5583.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
5547.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
5461.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
5454.4
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5422.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5403.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
5374.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
5366.8
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
5321.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
5306.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5289.2
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
5252.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
5215.9
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
5183.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
5150.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
5148.7
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
5126.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
5108.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
5104.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
5103.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
5097.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
5095.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
5078.2
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
5071.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
5064.3
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
5059.9
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
4964.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4942.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
4921.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
4902.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
4871.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
4856.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4835.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4833.2
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4828.6
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
4821.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4819.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4710.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
4709.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4705.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
4697.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4693.6
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
4679.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
4612.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4612.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
4611.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4541.4
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
4504.1
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4456.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4454.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
4441.9
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4435.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
4424.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
4394.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
4363.3
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4346.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
4346.2
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4318.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
4305.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4303.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4290.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
4243.1
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
4204.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
4203.1
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4179.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4126.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
4016.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3995.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
3955.3
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3947.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3942.5
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
3924.5
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3913.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3894.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
3881.2
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3856.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
3844.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
3827.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3757.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
3753.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
3744.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3708.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3687.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3680.8
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3673.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
3669.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
3647.4
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
3629.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
3611.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
3526.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3500.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3430.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3406.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3404.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
3390.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3388.7
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
3278.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3225.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
3224.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
3213.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3184.1
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
3086.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3032.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3017.6
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2996.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2972.9
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2889.6
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2832.5
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2803.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2783.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2781.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2704.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2698.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2676.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2657.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2593.4
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2431.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2401.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2285.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2275.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
2142.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2056.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2011.6
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2003.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1897.8
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1843.8
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1825.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1729.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1704.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1694.2
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1563.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1548.1
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1419.3
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1311.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
823.6
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
643.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
619.2
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
565.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
532.5
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
508.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
499.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
486.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
482.6
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
479.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
472.1
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
432.8
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
369.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
343.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
340.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
335.6
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
328.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
327.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
323.1
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
321.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
315.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
310.8
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
277.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
270.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
269.2
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
262.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
254.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
254.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
249.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
244.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
238.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
235.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
227.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
224.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
220.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
216.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
215.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
209.3
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
207.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
204.6
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
196.2
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
191.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
186.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
177.5
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
176.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
170.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
170.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
169.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
160.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
159.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
157.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
154.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
151.3
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
149.9
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
148.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
145.8
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
135.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
133.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
125.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
121.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
114.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
111.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
100.5
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
99.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
93.5
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
89.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
79.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
79.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
64.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
63.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
62.8
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
51.7
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
0.8
CPT0021240003
Tumor
0.5
CPT0025050003
Tumor
0.5
CPT0081880003
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0089460004
Tumor
0.3
CPT0012280003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0088550004
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0014160003
Tumor
0.3
CPT0025230003
Tumor
0.3
CPT0023350003
Tumor
0.3
CPT0063630003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0076330003
Tumor
0.2
CPT0012080003
Tumor
0.2
CPT0014450004
Tumor
0.2
CPT0001260009
Tumor
0.2
CPT0086030003
Tumor
0.2
CPT0088690003
Tumor
0.2
CPT0012180003
Tumor
0.2
CPT0025880003
Tumor
0.2
CPT0088970003
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0002270011
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0092290003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0065430003
Tumor
0.2
CPT0017410003
Tumor
0.2
CPT0015810003
Tumor
0.2
CPT0079380003
Tumor
0.2
CPT0017850003
Tumor
0.2
CPT0012550003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0065930003
Tumor
0.2
CPT0078510003
Tumor
0.1
CPT0084560003
Tumor
0.1
CPT0001500009
Tumor
0.1
CPT0012670003
Tumor
0.1
CPT0025290003
Tumor
0.1
CPT0065750003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0065690003
Tumor
0.1
CPT0092790003
Tumor
0.1
CPT0069000003
Tumor
0.1
CPT0078930003
Tumor
0.1
CPT0001540009
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0011410003
Tumor
0.1
CPT0019130003
Tumor
0.1
CPT0025580004
Tumor
0.1
CPT0079410003
Tumor
0.1
CPT0077500001
Normal
0.1
CPT0065810003
Tumor
0.1
CPT0002350011
Tumor
0.1
CPT0075130003
Tumor
0.1
CPT0081600003
Tumor
0.1
CPT0077490003
Tumor
0.1
CPT0064370003
Tumor
0.1
CPT0079270003
Tumor
0.1
CPT0011240003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0079480003
Tumor
0.1
CPT0006630003
Tumor
0.1
CPT0075570001
Normal
0.0
CPT0023690003
Tumor
0.0
CPT0089020003
Tumor
0.0
CPT0024670003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0086360003
Tumor
0.0
CPT0065450001
Normal
0.0
CPT0066430001
Normal
0.0
CPT0088760003
Tumor
0.0
CPT0006900003
Tumor
0.0
CPT0015730003
Tumor
0.0
CPT0075560003
Tumor
0.0
CPT0078530001
Normal
0.0
CPT0077310003
Tumor
0.0
CPT0000890001
Normal
0.0
CPT0007860003
Tumor
0.0
CPT0023360001
Normal
0.0
CPT0066470004
Tumor
0.0
CPT0025610001
Normal
0.0
CPT0088780001
Normal
0.0
CPT0066480003
Tumor
0.0
CPT0012770003
Normal
0.0
CPT0017450001
Normal
0.0
CPT0000870016
Tumor
0.0
CPT0069010001
Normal
0.0
CPT0014470001
Normal
0.0
CPT0082010001
Normal
0.0
CPT0089480003
Normal
0.0
CPT0077140001
Normal
0.0
CPT0018250001
Normal
0.0
CPT0010110003
Tumor
0.0
CPT0007320003
Tumor
0.0
CPT0092730003
Tumor
0.0
CPT0026420001
Normal
0.0
CPT0023710001
Normal
0.0
CPT0078830003
Tumor
0.0
CPT0066520001
Normal
0.0
CPT0086820003
Tumor
0.0
CPT0020120003
Tumor
0.0
CPT0012090003
Normal
0.0
CPT0025060001
Normal
0.0
CPT0087050003
Normal
0.0
CPT0001220008
Tumor
0.0
CPT0012570003
Normal
0.0
CPT0063320003
Tumor
0.0
CPT0089040001
Normal
0.0
CPT0084590001
Normal
0.0
CPT0025110003
Tumor
0.0
CPT0014350001
Normal
0.0
CPT0086890003
Normal
0.0
CPT0092800003
Normal
0.0
CPT0081620001
Normal
0.0
CPT0009060003
Tumor
0.0
CPT0088920001
Normal
-0.1
CPT0063330001
Normal
-0.1
CPT0081990003
Tumor
-0.1
CPT0092740003
Normal
-0.1
CPT0009080003
Normal
-0.1
CPT0075170001
Normal
-0.1
CPT0001350001
Normal
-0.1
CPT0013790003
Normal
-0.1
CPT0087040003
Tumor
-0.1
CPT0015910003
Tumor
-0.1
CPT0079510001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0092190003
Normal
-0.1
CPT0006950001
Normal
-0.1
CPT0000790001
Normal
-0.1
CPT0007470001
Normal
-0.1
CPT0078940001
Normal
-0.1
CPT0088710001
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0012370003
Tumor
-0.1
CPT0077320001
Normal
-0.1
CPT0088570001
Normal
-0.1
CPT0012920003
Normal
-0.1
CPT0085670003
Tumor
-0.1
CPT0064400001
Normal
-0.1
CPT0010170001
Normal
-0.1
CPT0063640001
Normal
-0.1
CPT0086950003
Tumor
-0.1
CPT0079430001
Normal
-0.1
CPT0077110003
Tumor
-0.1
CPT0088900003
Tumor
-0.1
CPT0001180009
Tumor
-0.1
CPT0012290003
Normal
-0.1
CPT0014130001
Normal
-0.1
CPT0078800003
Tumor
-0.1
CPT0079230003
Tumor
-0.1
CPT0065820001
Normal
-0.1
CPT0000640003
Tumor
-0.1
CPT0086370003
Normal
-0.1
CPT0024680001
Normal
-0.1
CPT0075720003
Tumor
-0.1
CPT0001270001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0020020001
Normal
-0.1
CPT0086970003
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0006530001
Normal
-0.1
CPT0079000001
Normal
-0.1
CPT0025920001
Normal
-0.2
CPT0001510001
Normal
-0.2
CPT0001190001
Normal
-0.2
CPT0079300001
Normal
-0.2
CPT0020130001
Normal
-0.2
CPT0078990003
Tumor
-0.2
CPT0010120001
Normal
-0.2
CPT0065870003
Tumor
-0.2
CPT0000660001
Normal
-0.2
CPT0007870001
Normal
-0.2
CPT0025350003
Tumor
-0.2
CPT0088640003
Normal
-0.2
CPT0006730001
Normal
-0.2
CPT0086830003
Normal
-0.2
CPT0069190001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0001550001
Normal
-0.2
CPT0012640003
Normal
-0.2
CPT0079180003
Tumor
-0.2
CPT0001230001
Normal
-0.2
CPT0014370004
Tumor
-0.3
CPT0088630003
Tumor
-0.3
CPT0086870003
Tumor
-0.3
CPT0006440003
Tumor
-0.4
CPT0078660003
Tumor
-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.