We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RPS29 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1363.7
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
4896.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
3633.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3622.3
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3128.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2991.2
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2804.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2678.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2567.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
2389.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2354.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2265.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2156.6
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2090.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2086.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1967.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1955.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1882.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1837.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1790.2
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1763.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1737.1
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1684.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1668.8
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1663.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1637.7
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1633.1
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1612.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1586.0
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1520.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1520.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1465.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1432.6
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1376.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1328.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1281.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1225.1
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1203.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1175.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1170.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1094.1
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1029.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
897.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
672.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
418.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
404.6
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
392.2
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
293.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
286.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
264.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
259.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
246.7
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
239.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
238.8
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
231.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
230.8
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
222.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
213.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
191.5
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
176.7
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
173.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
170.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
116.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
25.8
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.
RPS29 is potential prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2546.5
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
7813.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
7054.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
6302.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6246.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
6228.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
6156.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5865.0
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
5590.4
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
5562.2
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
5527.1
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5525.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
5320.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
5302.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5128.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5026.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
5003.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
4670.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4651.6
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4614.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4583.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4512.8
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
4458.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4311.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4295.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
4216.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4187.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4126.9
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
4115.2
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4107.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4047.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3985.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3978.4
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
3973.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
3973.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3940.3
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3910.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3891.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3882.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3881.9
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3873.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3852.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3840.4
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3829.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3779.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3771.5
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3749.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3748.6
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3728.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3702.4
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3700.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3686.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3675.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
3673.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3660.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3642.7
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3623.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3607.1
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3599.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3596.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3593.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3592.3
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3578.8
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3571.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3565.8
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3552.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3533.4
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3532.0
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3527.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3504.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3497.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3493.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3488.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3475.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3473.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3471.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3454.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3453.9
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3452.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3429.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3428.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3396.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3394.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3394.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3394.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
3394.2
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3392.9
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3392.1
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3386.2
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3374.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3368.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3366.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3365.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3348.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3345.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3336.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3335.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3330.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3330.5
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3323.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3316.6
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3303.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3302.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3292.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3286.2
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3265.1
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3263.2
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3255.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3244.2
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3241.8
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3240.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3236.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3223.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3222.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3219.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3202.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3201.7
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3200.5
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3194.9
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3190.9
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3187.8
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3182.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3176.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3171.7
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3170.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3153.3
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3152.9
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3148.9
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3144.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3126.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3125.0
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3115.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3109.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3107.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3101.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3079.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3072.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3070.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3068.8
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3065.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3058.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3057.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3046.1
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3042.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3040.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3032.9
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3032.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3022.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3018.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3015.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3011.2
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3008.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3006.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3003.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3001.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2992.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
2991.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2991.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2976.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2976.9
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2976.6
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2974.6
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2974.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2972.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2959.3
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2950.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2940.9
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2939.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2931.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2922.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2918.1
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2916.3
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2914.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2908.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2904.7
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2898.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2887.0
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
2874.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2871.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
2868.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2866.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2864.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2855.6
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2844.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
2842.2
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2842.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2835.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2826.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2825.8
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2821.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2818.4
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2817.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2815.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2809.7
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2807.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2802.2
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2800.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2797.6
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
2780.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2778.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2777.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2774.7
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2764.0
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2762.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2759.6
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2758.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2756.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2752.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2749.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2745.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2742.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2730.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2728.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2726.4
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2725.1
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2722.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2721.6
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2713.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2701.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2691.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2687.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
2685.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
2679.7
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2675.4
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2674.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2673.9
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2667.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2665.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2665.5
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2664.5
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2663.8
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2653.2
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2653.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2651.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
2650.4
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2643.1
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2637.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2631.8
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2626.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2622.5
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2620.3
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2614.9
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2612.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2609.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2603.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2599.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2589.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
2581.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2572.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2569.6
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2562.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2560.7
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2558.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2553.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2548.5
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2543.8
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2531.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2528.7
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2525.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2510.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2508.7
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2505.2
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2504.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2502.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2500.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2495.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2487.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2485.2
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2474.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2454.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2450.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2440.1
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2431.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2430.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2418.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2408.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2403.4
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
2400.1
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2398.6
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2398.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2398.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2392.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2391.6
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2391.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2389.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2382.9
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2377.8
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2377.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2377.1
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2369.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2368.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2362.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2359.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2335.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2324.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2323.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2306.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2292.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2291.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2286.7
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2279.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2278.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2274.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2273.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2260.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2256.9
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2255.5
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2249.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2244.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2243.2
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2230.8
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2209.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2201.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2192.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2182.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2179.2
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2168.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2158.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2156.4
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2148.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2144.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2142.2
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2139.0
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2132.0
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2131.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2127.9
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2125.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2114.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2114.6
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2111.2
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2110.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2109.8
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2109.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2108.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2107.3
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2103.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2094.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2091.6
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2083.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2081.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2080.8
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2072.4
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2071.1
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2069.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2068.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2066.6
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2063.8
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2059.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2059.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2052.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2050.0
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2029.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2026.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2019.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2017.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2016.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2015.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2012.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2007.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2006.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1995.4
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1990.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1987.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1983.6
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1982.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
1975.6
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1970.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1960.1
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1945.2
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1942.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1939.8
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1931.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
1930.6
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
1928.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1927.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1926.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1925.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1918.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1892.1
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1890.3
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
1882.5
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
1881.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1874.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
1872.7
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1869.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1866.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1858.0
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1853.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1846.2
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1839.9
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1818.2
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1812.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1808.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1807.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1807.0
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1801.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1800.4
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1788.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1787.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1755.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1744.7
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
1740.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1740.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1738.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1733.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1722.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1713.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1711.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1709.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1705.2
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
1697.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
1691.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1690.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1684.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1678.6
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1674.2
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1670.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1652.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1651.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1649.1
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1647.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1644.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1644.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1641.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1635.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
1629.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
1628.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1623.8
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1619.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1618.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1616.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1607.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1606.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1604.7
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1603.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1573.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1568.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1565.0
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1545.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1545.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1542.1
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1533.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1531.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1530.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1525.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1510.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1510.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1509.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1507.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
1501.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1497.9
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1493.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1485.6
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1476.9
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1474.8
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1463.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1457.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1453.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1449.8
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1432.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1404.4
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1400.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1397.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1388.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1388.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1357.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1356.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1351.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1339.1
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1331.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1318.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1311.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1309.2
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1299.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1284.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1280.6
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1274.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1268.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1258.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1241.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1216.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1215.0
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
1206.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1183.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
1177.3
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1173.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1158.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1129.4
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1128.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1126.8
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1118.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1113.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1112.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1112.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1070.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1065.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1057.8
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1055.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1042.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1039.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1039.1
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1021.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1004.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1000.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
980.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
976.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
974.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
973.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
969.9
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
887.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
878.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
815.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
795.4
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
739.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
733.5
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
722.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
673.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
656.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
641.9
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
629.1
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
603.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 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.
RPS29 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2288.4
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4923.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4079.8
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3923.9
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3914.6
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3537.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3419.7
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3353.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3321.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3315.2
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3285.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3174.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2979.8
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2952.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2940.5
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2937.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2935.4
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2917.0
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2910.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2901.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2883.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2860.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2856.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2837.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2809.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2784.8
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2748.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2704.0
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2698.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
2554.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2546.4
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2545.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2525.4
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2478.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2468.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2445.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2436.9
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2429.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2403.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2393.2
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
2380.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2371.2
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2368.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2360.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2354.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2353.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2350.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2323.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2313.1
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2310.1
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2285.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2258.8
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2257.5
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2256.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2219.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2219.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2185.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2167.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2133.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2131.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2131.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2115.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2070.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2069.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2048.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2043.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1983.5
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1965.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1952.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1936.3
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1918.9
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1895.5
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1856.6
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1847.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1827.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1787.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1783.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1775.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1766.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1762.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1692.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1648.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1623.0
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1608.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1588.5
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1582.7
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1531.5
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1517.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1442.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1440.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1386.8
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1347.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1334.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1333.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1300.9
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1276.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1200.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1085.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1083.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1048.1
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 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.
RPS29 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1826.1
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
8444.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
6841.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5637.5
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
5140.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4536.6
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
4337.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
4250.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
4155.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
3900.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3870.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3858.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3844.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3828.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3781.4
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
3712.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3701.7
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3677.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3659.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3618.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3568.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3551.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
3521.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3422.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3390.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3331.8
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3300.0
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3225.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3191.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3171.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3140.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3097.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3057.3
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3050.3
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3021.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
3018.9
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2996.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2996.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2988.0
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2958.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2954.8
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2946.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2934.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2933.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2911.7
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2896.9
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2887.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2886.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2836.0
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2809.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2794.2
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2793.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2775.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2759.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2756.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2751.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2737.6
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2735.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2719.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2711.9
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2671.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2668.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2652.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2637.9
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2631.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2622.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2589.9
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2588.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2583.1
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2563.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2561.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2548.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2548.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2547.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2530.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2515.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2502.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2498.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2489.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2488.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2464.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2462.2
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2434.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2434.3
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2407.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2404.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2392.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2391.5
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2389.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2382.0
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2381.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2375.3
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2374.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2355.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2349.3
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2336.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2330.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2322.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2318.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2299.0
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2265.1
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2260.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2247.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2244.4
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2241.7
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2236.5
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2229.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2222.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2217.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2194.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2180.1
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2172.2
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2167.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2159.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2151.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2137.2
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2134.8
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2129.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2127.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2122.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2121.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2104.4
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2103.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2091.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
2084.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2080.2
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2077.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2076.1
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2073.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
2059.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2046.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2043.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2037.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2031.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2022.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2010.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2001.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1954.5
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1945.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1934.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1926.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1924.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1919.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1906.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1903.3
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1902.4
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1894.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1893.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1884.6
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1880.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1871.1
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1868.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1859.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1853.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1846.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1836.7
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1818.1
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1811.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1806.9
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1801.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1794.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1786.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1785.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1768.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1766.7
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1766.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1765.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1765.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1736.9
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1714.8
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1685.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1669.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1656.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1632.9
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1608.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1589.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1574.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1562.2
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1561.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1554.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1547.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1531.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1528.3
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1478.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1476.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1474.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1461.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1432.3
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1431.9
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1427.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1415.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1403.6
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1392.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1365.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1347.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1344.8
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1322.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1264.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1258.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1186.7
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1175.2
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1152.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1064.5
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1047.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1035.3
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1028.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1025.0
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
945.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
870.9
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
737.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
728.8
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
676.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
561.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
471.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
468.8
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
423.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
373.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
366.9
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
355.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
350.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
346.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
345.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
341.5
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
339.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
335.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
328.0
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
311.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
282.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
272.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
270.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
267.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
266.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
266.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
259.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
247.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
241.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
237.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
233.4
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
226.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
223.3
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
222.9
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
214.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
211.5
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
206.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
205.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
205.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
201.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
200.9
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
195.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
192.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
186.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
186.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
185.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
185.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
179.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
176.5
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
173.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
168.3
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
154.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
147.3
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
146.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
143.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
142.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
140.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
133.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
133.0
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
133.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
125.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
125.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
119.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
109.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
107.0
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
100.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
98.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
95.6
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
94.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
91.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
80.0
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
79.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
42.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
36.8
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
23.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
0.7
Show allShow less
RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.5
CPT0023350003
Tumor
1.0
CPT0001340003
Tumor
0.9
CPT0088480003
Tumor
0.9
CPT0002350011
Tumor
0.7
CPT0017850003
Tumor
0.7
CPT0010120001
Normal
0.7
CPT0025880003
Tumor
0.7
CPT0012180003
Tumor
0.6
CPT0075130003
Tumor
0.6
CPT0084560003
Tumor
0.6
CPT0010110003
Tumor
0.6
CPT0088690003
Tumor
0.6
CPT0001540009
Tumor
0.6
CPT0092190003
Normal
0.6
CPT0078660003
Tumor
0.6
CPT0065430003
Tumor
0.6
CPT0088970003
Tumor
0.6
CPT0081600003
Tumor
0.5
CPT0071150004
Tumor
0.5
CPT0025110003
Tumor
0.5
CPT0026410003
Tumor
0.5
CPT0012080003
Tumor
0.5
CPT0079510001
Normal
0.5
CPT0075720003
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0002270011
Tumor
0.5
CPT0065870003
Tumor
0.4
CPT0017410003
Tumor
0.4
CPT0079410003
Tumor
0.4
CPT0084590001
Normal
0.4
CPT0079480003
Tumor
0.4
CPT0015810003
Tumor
0.4
CPT0086870003
Tumor
0.4
CPT0079180003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0011240003
Tumor
0.4
CPT0079300001
Normal
0.4
CPT0024670003
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0000780007
Tumor
0.3
CPT0012550003
Tumor
0.3
CPT0086820003
Tumor
0.3
CPT0006440003
Tumor
0.3
CPT0077490003
Tumor
0.3
CPT0007320003
Tumor
0.3
CPT0088900003
Tumor
0.3
CPT0085670003
Tumor
0.3
CPT0025230003
Tumor
0.3
CPT0088630003
Tumor
0.3
CPT0012280003
Tumor
0.3
CPT0075170001
Normal
0.3
CPT0012370003
Tumor
0.3
CPT0066480003
Tumor
0.3
CPT0012640003
Normal
0.2
CPT0086950003
Tumor
0.2
CPT0077320001
Normal
0.2
CPT0001220008
Tumor
0.2
CPT0012670003
Tumor
0.2
CPT0075570001
Normal
0.2
CPT0025050003
Tumor
0.2
CPT0009000003
Tumor
0.2
CPT0088640003
Normal
0.2
CPT0011410003
Tumor
0.2
CPT0000640003
Tumor
0.1
CPT0078990003
Tumor
0.1
CPT0079000001
Normal
0.1
CPT0086970003
Normal
0.1
CPT0002370001
Normal
0.1
CPT0063640001
Normal
0.1
CPT0063630003
Tumor
0.1
CPT0069160003
Tumor
0.1
CPT0081620001
Normal
0.1
CPT0079380003
Tumor
0.1
CPT0010160003
Tumor
0.1
CPT0025350003
Tumor
0.1
CPT0025610001
Normal
0.1
CPT0077110003
Tumor
0.1
CPT0078830003
Tumor
0.1
CPT0007870001
Normal
0.1
CPT0012570003
Normal
0.1
CPT0086830003
Normal
0.1
CPT0001270001
Normal
0.0
CPT0001550001
Normal
0.0
CPT0024680001
Normal
0.0
CPT0078940001
Normal
0.0
CPT0014350001
Normal
0.0
CPT0013790003
Normal
0.0
CPT0014470001
Normal
0.0
CPT0081990003
Tumor
0.0
CPT0014450004
Tumor
0.0
CPT0007470001
Normal
0.0
CPT0079230003
Tumor
0.0
CPT0000890001
Normal
0.0
CPT0001350001
Normal
0.0
CPT0019160001
Normal
0.0
CPT0092160003
Tumor
0.0
CPT0092800003
Normal
0.0
CPT0078800003
Tumor
0.0
CPT0079270003
Tumor
0.0
CPT0012090003
Normal
0.0
CPT0092730003
Tumor
0.0
CPT0065820001
Normal
-0.1
CPT0015910003
Tumor
-0.1
CPT0076350001
Normal
-0.1
CPT0089480003
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0019130003
Tumor
-0.1
CPT0020020001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0089020003
Tumor
-0.1
CPT0009060003
Tumor
-0.1
CPT0000870016
Tumor
-0.1
CPT0001190001
Normal
-0.1
CPT0086890003
Normal
-0.1
CPT0088780001
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0001230001
Normal
-0.1
CPT0014370004
Tumor
-0.1
CPT0088500001
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0065930003
Tumor
-0.1
CPT0069190001
Normal
-0.1
CPT0017450001
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0088710001
Normal
-0.1
CPT0086370003
Normal
-0.1
CPT0001510001
Normal
-0.1
CPT0086360003
Tumor
-0.1
CPT0006730001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0088760003
Tumor
-0.1
CPT0001500009
Tumor
-0.1
CPT0077140001
Normal
-0.1
CPT0066470004
Tumor
-0.2
CPT0006530001
Normal
-0.2
CPT0066520001
Normal
-0.2
CPT0025920001
Normal
-0.2
CPT0018250001
Normal
-0.2
CPT0087050003
Normal
-0.2
CPT0064370003
Tumor
-0.2
CPT0077500001
Normal
-0.2
CPT0019990003
Tumor
-0.2
CPT0025060001
Normal
-0.2
CPT0009080003
Normal
-0.2
CPT0014130001
Normal
-0.3
CPT0063330001
Normal
-0.3
CPT0021240003
Tumor
-0.3
CPT0000660001
Normal
-0.3
CPT0012900004
Tumor
-0.3
CPT0078530001
Normal
-0.3
CPT0079430001
Normal
-0.3
CPT0081880003
Tumor
-0.3
CPT0089460004
Tumor
-0.3
CPT0075560003
Tumor
-0.3
CPT0023710001
Normal
-0.3
CPT0010170001
Normal
-0.3
CPT0086030003
Tumor
-0.3
CPT0087040003
Tumor
-0.4
CPT0088570001
Normal
-0.4
CPT0020130001
Normal
-0.4
CPT0092740003
Normal
-0.4
CPT0012920003
Normal
-0.4
CPT0007860003
Tumor
-0.4
CPT0089040001
Normal
-0.4
CPT0023360001
Normal
-0.4
CPT0000790001
Normal
-0.4
CPT0078930003
Tumor
-0.4
CPT0015730003
Tumor
-0.4
CPT0006950001
Normal
-0.4
CPT0025580004
Tumor
-0.4
CPT0065810003
Tumor
-0.5
CPT0023690003
Tumor
-0.5
CPT0025290003
Tumor
-0.5
CPT0092310003
Normal
-0.5
CPT0063320003
Tumor
-0.5
CPT0065690003
Tumor
-0.5
CPT0006630003
Tumor
-0.5
CPT0026420001
Normal
-0.5
CPT0025170003
Tumor
-0.5
CPT0088920001
Normal
-0.5
CPT0065450001
Normal
-0.6
CPT0065750003
Tumor
-0.6
CPT0069010001
Normal
-0.7
CPT0066430001
Normal
-0.7
CPT0077310003
Tumor
-0.7
CPT0082010001
Normal
-0.7
CPT0006900003
Tumor
-0.9
CPT0020120003
Tumor
-0.9
CPT0014160003
Tumor
-1.0
CPT0092290003
Tumor
-1.1
CPT0069000003
Tumor
-1.2
CPT0078510003
Tumor
-2.2
Show allShow less
RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
