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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL35 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
1180.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
4026.1
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
3795.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2677.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2538.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2108.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2083.8
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1970.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1940.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1858.1
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1829.9
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1806.2
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1772.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1766.5
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1766.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1732.2
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1706.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1679.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1653.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1511.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1487.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1469.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1466.8
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1441.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1406.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1316.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1309.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1296.6
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1215.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1159.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1081.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1012.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
977.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
939.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
888.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
871.7
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
848.3
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
812.2
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
791.8
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
767.6
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
767.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
713.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
650.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
642.8
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
632.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
631.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
626.2
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
621.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
598.8
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
589.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
571.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
560.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
556.7
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
528.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
514.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
513.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
480.2
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
448.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
390.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
365.3
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
363.7
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
304.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
253.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
225.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 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.
RPL35 is not prognostic 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
1939.6
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
9517.7
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
8974.3
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
6345.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5388.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5248.4
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5217.3
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
5132.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
4967.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4919.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4787.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4783.4
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4735.2
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4659.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4603.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4389.0
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
4344.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4298.5
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
4276.9
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4266.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4111.0
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4072.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4061.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3963.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3930.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3806.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3795.4
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3773.9
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3745.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
3610.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3560.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3471.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3455.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3347.2
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
3331.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3253.6
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3226.9
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3221.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3195.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3132.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3106.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3083.2
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3057.9
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3014.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3002.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2980.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2947.2
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2940.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2914.2
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2902.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2889.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2882.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2877.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
2872.0
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2861.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
2853.0
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2848.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
2815.4
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2811.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2810.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
2805.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
2786.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2772.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2762.6
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2741.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2737.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2711.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2704.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2674.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
2670.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2640.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
2632.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2631.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2607.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2600.0
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
2596.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2580.2
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2567.4
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2554.7
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2550.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2548.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2544.8
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2533.0
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2488.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2468.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2462.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2461.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2451.0
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2450.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2442.2
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2434.1
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2425.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
2424.5
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2409.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2405.6
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
2387.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2374.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2369.7
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
2343.9
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2340.8
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2339.0
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
2328.5
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2324.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2318.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2317.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2303.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2301.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2299.3
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2299.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2292.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2289.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2284.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2275.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2274.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
2270.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2268.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2260.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2247.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2233.6
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2223.9
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2222.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2219.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2216.3
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2214.5
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2210.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2208.4
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2205.5
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2205.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2204.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2197.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2197.1
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2194.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2187.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2186.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2184.7
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2181.3
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2179.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2173.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2171.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2169.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2163.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2159.7
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2151.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2147.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2143.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2142.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2132.8
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2125.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2118.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2117.4
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2116.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2115.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2103.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2103.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2100.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2099.7
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2097.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2096.5
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2095.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2090.8
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
2087.5
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2087.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2081.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2078.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2076.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2076.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2066.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2055.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2055.6
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2052.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2049.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2045.9
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
2045.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2045.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2036.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2036.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2036.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2036.2
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2034.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
2032.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2031.1
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2031.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2023.4
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2015.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2012.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2006.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2002.6
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
1997.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1983.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1981.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1978.7
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1975.8
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
1974.7
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1969.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1968.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1968.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1963.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1961.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
1961.0
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1959.0
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1958.1
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1936.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
1932.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
1932.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1928.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
1926.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
1926.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1924.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
1923.2
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1920.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
1919.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1909.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1909.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
1907.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1905.8
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
1905.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
1902.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1899.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1898.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1896.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1895.8
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1894.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1891.1
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
1877.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
1877.0
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1875.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
1875.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1868.3
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1862.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
1860.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1856.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
1851.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
1850.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1847.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
1845.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1835.7
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1834.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
1833.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
1832.4
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1817.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1803.6
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1802.2
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1802.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1792.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1789.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1788.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
1786.6
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1784.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1780.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1779.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
1766.9
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1766.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1765.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
1765.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1762.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
1753.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1752.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
1740.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
1739.9
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
1738.6
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1738.0
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1736.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
1735.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
1735.1
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1734.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
1731.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1730.7
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1725.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
1723.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1721.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
1707.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1706.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
1703.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1701.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1701.2
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1692.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1692.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
1691.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
1687.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1684.1
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1680.4
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
1676.0
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1675.8
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1673.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
1670.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
1667.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1666.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1662.2
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
1655.1
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1652.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1652.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1652.4
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
1652.0
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1649.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1642.2
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1641.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1641.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
1632.3
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
1632.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
1631.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1629.2
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
1629.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1626.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1626.8
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1616.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
1614.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1612.9
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1612.7
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1599.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1599.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
1596.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1595.2
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1594.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1591.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1581.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1578.0
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1577.4
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1576.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
1575.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
1574.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1573.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1567.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1565.4
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1565.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1562.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1562.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1562.4
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1560.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1560.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1559.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1556.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
1554.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1550.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1548.5
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1548.2
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1547.8
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1547.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1542.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1541.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1540.9
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1539.3
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1538.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1534.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1534.2
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1533.7
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1533.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1530.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1529.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1527.3
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
1525.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1525.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1524.1
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
1521.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1519.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
1514.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1513.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1503.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1500.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
1499.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1494.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1492.4
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1491.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1489.6
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1481.9
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1478.4
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1477.5
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
1474.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1470.3
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1470.2
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1467.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1466.4
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1464.7
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1458.8
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1457.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1450.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1449.1
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1441.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1441.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1436.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1435.7
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1434.4
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1431.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
1428.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1427.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1420.1
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1418.4
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1417.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1414.6
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1410.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1404.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1402.4
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
1399.1
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1398.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1398.1
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
1397.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1396.9
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1392.9
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1392.1
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1390.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
1390.0
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1389.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1388.9
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1376.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1369.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1362.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
1360.4
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1360.1
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1360.0
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1359.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1358.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1354.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1352.0
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1350.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1350.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1345.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1343.4
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1333.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1319.7
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1315.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1312.5
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1311.6
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1306.2
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1301.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1297.0
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1296.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
1292.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1292.5
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1290.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1279.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1273.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1273.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1271.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1269.2
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1265.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1259.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1249.3
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1249.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1246.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1243.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1241.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1232.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1227.7
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1226.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1223.3
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1219.9
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
1217.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1215.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1211.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1209.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1201.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1200.1
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1199.2
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1190.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1182.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1178.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1177.2
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1173.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1164.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1163.3
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1163.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1151.9
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1148.5
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1147.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
1144.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
1143.3
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1138.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1136.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1135.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1131.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1119.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1109.9
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1107.9
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1106.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1103.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1091.6
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1085.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1079.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
1067.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1062.3
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
1050.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1048.7
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1048.4
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1043.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1039.7
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1038.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1016.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1009.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1002.4
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
992.3
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
988.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
974.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
965.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
955.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
951.5
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
945.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
942.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
941.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
903.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
894.1
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
889.1
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
888.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
885.0
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
881.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
874.1
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
860.9
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
860.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
856.1
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
854.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
854.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
839.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
824.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
819.0
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
812.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
784.4
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
734.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
675.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
667.8
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
665.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
637.8
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
621.5
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
197.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 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.
RPL35 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
1611.0
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3371.5
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3365.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3320.1
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
2925.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2884.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2479.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2462.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2346.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
2322.9
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
2286.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2237.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2215.8
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2104.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2059.5
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1996.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1985.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1957.2
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1891.4
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1889.2
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1876.8
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1864.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1861.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1844.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1838.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1826.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1785.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1766.8
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1721.4
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1716.9
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1712.9
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1706.0
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1700.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1698.5
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1693.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1690.5
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1682.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1674.6
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1670.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1658.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1636.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1624.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1624.0
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1622.0
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1619.3
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1603.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1602.8
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
1587.0
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1579.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1559.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1531.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1521.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1508.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1507.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1506.9
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1490.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1487.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1477.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1471.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1468.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1451.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1447.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1441.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1435.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1430.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1425.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1424.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1424.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1420.4
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1419.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1407.5
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1400.3
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1343.4
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1321.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1320.5
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1320.0
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1289.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1286.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1279.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1270.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1266.1
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1259.0
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1257.4
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1217.0
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1197.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1189.3
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1178.6
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1153.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1134.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1103.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1099.5
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1070.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1064.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1023.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
930.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
924.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
841.2
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
782.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
684.9
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
547.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 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.
RPL35 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
1636.4
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
8752.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5426.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4756.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4739.4
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4681.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4563.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4431.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4284.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
4048.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4020.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4005.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3680.3
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3621.4
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3599.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3485.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3400.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3348.7
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3229.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3102.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3074.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3039.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3010.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2998.3
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2957.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2951.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2902.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2875.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2807.8
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2807.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2761.5
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2705.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2690.9
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2679.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2677.9
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2670.3
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2591.5
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
2579.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2574.8
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2571.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2562.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2558.2
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2506.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
2503.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2486.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2481.0
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2471.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2469.5
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2465.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2464.3
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2463.0
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2428.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2395.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2352.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2351.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2281.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2280.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2250.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2250.1
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2250.0
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2179.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2167.2
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2138.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2124.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2122.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2117.0
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2104.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2097.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2092.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2050.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2036.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2029.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1993.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1990.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1987.0
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1956.9
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1947.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1946.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1938.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1937.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1921.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1908.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1885.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1880.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1878.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1878.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1864.6
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1862.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1856.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1855.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1849.5
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1848.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1841.8
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1833.6
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1828.3
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1821.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1807.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1805.9
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1802.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1790.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1790.7
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1785.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1780.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1780.3
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1744.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1731.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1726.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1723.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1721.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1718.9
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
1707.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1704.6
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1704.5
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1699.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1699.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1696.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1694.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1675.7
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1674.3
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1655.8
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1651.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1644.0
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1625.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1616.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1607.6
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1607.1
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1603.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1591.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1585.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1580.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1568.6
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1566.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
1563.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1554.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
1552.1
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1541.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1540.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1537.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1526.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1509.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1498.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1496.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1469.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1462.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1447.5
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1445.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1442.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1433.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1432.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1429.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1429.5
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1427.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1421.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1391.6
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1381.5
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1371.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1368.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1368.0
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1365.3
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1346.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1344.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1344.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1342.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1334.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1304.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1300.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1296.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1283.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1275.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1269.2
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1268.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1265.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1255.5
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
1243.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1237.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1234.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1222.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1216.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1203.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1202.6
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1196.8
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1195.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1193.0
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1192.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1187.2
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1181.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1157.2
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1149.7
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1142.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1139.9
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1139.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1129.2
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1129.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1104.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1104.1
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1098.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1096.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1091.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1075.8
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1066.3
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1059.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1046.8
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1034.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1033.5
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1031.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1027.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1006.7
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1005.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1000.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
998.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
994.2
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
990.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
989.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
977.2
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
967.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
951.7
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
932.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
920.4
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
913.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
880.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
866.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
863.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
855.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
831.1
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
807.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
800.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
773.2
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
762.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
749.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
737.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
736.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
732.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
727.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
722.5
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
705.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
696.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
695.6
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
680.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
672.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
664.0
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
656.7
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
646.7
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
642.1
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
639.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
622.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
609.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
608.9
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
608.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
564.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
555.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
543.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
540.1
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
529.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
524.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
523.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
510.0
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
504.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
486.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
486.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
477.9
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
474.1
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
472.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
472.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
467.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
463.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
460.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
458.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
454.3
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
453.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
450.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
441.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
440.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
437.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
423.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
411.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
377.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
375.1
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
347.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
347.1
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
345.3
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
344.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
273.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
184.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
2.4
CPT0023350003
Tumor
2.1
CPT0088550004
Tumor
2.1
CPT0011410003
Tumor
1.7
CPT0012550003
Tumor
1.7
CPT0079410003
Tumor
1.6
CPT0065930003
Tumor
1.6
CPT0086030003
Tumor
1.5
CPT0066470004
Tumor
1.5
CPT0024680001
Normal
1.4
CPT0088760003
Tumor
1.3
CPT0088690003
Tumor
1.3
CPT0065430003
Tumor
1.2
CPT0092730003
Tumor
1.1
CPT0081990003
Tumor
1.0
CPT0078800003
Tumor
0.9
CPT0086820003
Tumor
0.9
CPT0001180009
Tumor
0.9
CPT0081600003
Tumor
0.9
CPT0088970003
Tumor
0.9
CPT0084560003
Tumor
0.8
CPT0002350011
Tumor
0.8
CPT0014450004
Tumor
0.8
CPT0088480003
Tumor
0.8
CPT0075130003
Tumor
0.7
CPT0001540009
Tumor
0.7
CPT0012180003
Tumor
0.7
CPT0078660003
Tumor
0.7
CPT0079180003
Tumor
0.7
CPT0088900003
Tumor
0.7
CPT0085670003
Tumor
0.6
CPT0001260009
Tumor
0.6
CPT0015810003
Tumor
0.6
CPT0012080003
Tumor
0.6
CPT0089460004
Tumor
0.6
CPT0079480003
Tumor
0.6
CPT0076330003
Tumor
0.5
CPT0086950003
Tumor
0.5
CPT0069000003
Tumor
0.5
CPT0088630003
Tumor
0.5
CPT0002270011
Tumor
0.5
CPT0025230003
Tumor
0.5
CPT0078830003
Tumor
0.5
CPT0001500009
Tumor
0.4
CPT0088570001
Normal
0.4
CPT0010120001
Normal
0.4
CPT0006630003
Tumor
0.4
CPT0077110003
Tumor
0.4
CPT0017850003
Tumor
0.4
CPT0078990003
Tumor
0.3
CPT0001220008
Tumor
0.3
CPT0065810003
Tumor
0.3
CPT0069190001
Normal
0.3
CPT0086360003
Tumor
0.3
CPT0079380003
Tumor
0.3
CPT0024670003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0012670003
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0065870003
Tumor
0.2
CPT0077490003
Tumor
0.2
CPT0065750003
Tumor
0.2
CPT0086870003
Tumor
0.2
CPT0012280003
Tumor
0.2
CPT0020120003
Tumor
0.1
CPT0026410003
Tumor
0.1
CPT0025580004
Tumor
0.1
CPT0077320001
Normal
0.1
CPT0010160003
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0063630003
Tumor
0.0
CPT0092790003
Tumor
0.0
CPT0081880003
Tumor
0.0
CPT0001270001
Normal
0.0
CPT0012900004
Tumor
0.0
CPT0019990003
Tumor
0.0
CPT0084590001
Normal
0.0
CPT0078510003
Tumor
0.0
CPT0000640003
Tumor
0.0
CPT0069160003
Tumor
0.0
CPT0012370003
Tumor
0.0
CPT0011240003
Tumor
0.0
CPT0064370003
Tumor
0.0
CPT0025350003
Tumor
-0.1
CPT0014470001
Normal
-0.1
CPT0013790003
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0009000003
Tumor
-0.1
CPT0063320003
Tumor
-0.1
CPT0023690003
Tumor
-0.1
CPT0078930003
Tumor
-0.1
CPT0014370004
Tumor
-0.1
CPT0088920001
Normal
-0.2
CPT0000780007
Tumor
-0.2
CPT0079230003
Tumor
-0.2
CPT0092190003
Normal
-0.2
CPT0066480003
Tumor
-0.3
CPT0021240003
Tumor
-0.3
CPT0025060001
Normal
-0.4
CPT0012920003
Normal
-0.4
CPT0019130003
Tumor
-0.4
CPT0071150004
Tumor
-0.4
CPT0092290003
Tumor
-0.4
CPT0007860003
Tumor
-0.4
CPT0012570003
Normal
-0.4
CPT0012640003
Normal
-0.4
CPT0079510001
Normal
-0.4
CPT0015730003
Tumor
-0.5
CPT0006900003
Tumor
-0.5
CPT0025050003
Tumor
-0.5
CPT0025170003
Tumor
-0.5
CPT0000870016
Tumor
-0.5
CPT0075560003
Tumor
-0.5
CPT0079270003
Tumor
-0.5
CPT0092160003
Tumor
-0.5
CPT0076350001
Normal
-0.5
CPT0006440003
Tumor
-0.5
CPT0017410003
Tumor
-0.6
CPT0025290003
Tumor
-0.6
CPT0012290003
Normal
-0.6
CPT0065690003
Tumor
-0.6
CPT0025880003
Tumor
-0.6
CPT0077500001
Normal
-0.7
CPT0077310003
Tumor
-0.7
CPT0092800003
Normal
-0.7
CPT0006730001
Normal
-0.7
CPT0025110003
Tumor
-0.7
CPT0014160003
Tumor
-0.7
CPT0001510001
Normal
-0.8
CPT0086830003
Normal
-0.8
CPT0092740003
Normal
-0.8
CPT0075720003
Tumor
-0.8
CPT0002370001
Normal
-0.8
CPT0009060003
Tumor
-0.9
CPT0019160001
Normal
-0.9
CPT0086970003
Normal
-0.9
CPT0001190001
Normal
-0.9
CPT0078530001
Normal
-0.9
CPT0081620001
Normal
-0.9
CPT0018250001
Normal
-0.9
CPT0065820001
Normal
-1.0
CPT0014350001
Normal
-1.0
CPT0079000001
Normal
-1.0
CPT0001550001
Normal
-1.0
CPT0075170001
Normal
-1.0
CPT0020130001
Normal
-1.0
CPT0025920001
Normal
-1.0
CPT0014130001
Normal
-1.0
CPT0088780001
Normal
-1.0
CPT0092310003
Normal
-1.0
CPT0012090003
Normal
-1.0
CPT0015910003
Tumor
-1.0
CPT0079430001
Normal
-1.1
CPT0065450001
Normal
-1.1
CPT0077140001
Normal
-1.1
CPT0000790001
Normal
-1.1
CPT0082010001
Normal
-1.1
CPT0006530001
Normal
-1.1
CPT0069010001
Normal
-1.1
CPT0025610001
Normal
-1.1
CPT0009020003
Normal
-1.2
CPT0079300001
Normal
-1.2
CPT0086370003
Normal
-1.2
CPT0088640003
Normal
-1.2
CPT0064400001
Normal
-1.2
CPT0001350001
Normal
-1.2
CPT0001230001
Normal
-1.2
CPT0020020001
Normal
-1.2
CPT0007470001
Normal
-1.3
CPT0066520001
Normal
-1.3
CPT0026420001
Normal
-1.3
CPT0078940001
Normal
-1.3
CPT0007870001
Normal
-1.3
CPT0088500001
Normal
-1.3
CPT0078840001
Normal
-1.3
CPT0006950001
Normal
-1.3
CPT0088710001
Normal
-1.3
CPT0010170001
Normal
-1.3
CPT0000660001
Normal
-1.3
CPT0063330001
Normal
-1.4
CPT0078670001
Normal
-1.4
CPT0017450001
Normal
-1.4
CPT0089480003
Normal
-1.5
CPT0012770003
Normal
-1.5
CPT0009080003
Normal
-1.5
CPT0086890003
Normal
-1.6
CPT0023710001
Normal
-1.6
CPT0087050003
Normal
-1.6
CPT0089040001
Normal
-1.6
CPT0066430001
Normal
-1.6
CPT0075570001
Normal
-1.6
CPT0063640001
Normal
-1.6
CPT0023360001
Normal
-1.8
CPT0087040003
Tumor
-2.0
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
