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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.
CD74 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
2005.3
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
7213.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
6019.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
5045.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
4966.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
4813.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
4600.8
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
4571.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
4506.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
4036.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
3968.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
3782.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
3747.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3577.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
3376.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
3137.2
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
3115.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2990.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2847.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
2462.5
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
2380.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
2334.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2328.5
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2176.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
2023.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2015.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1894.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1856.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1776.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1733.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1713.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1679.5
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1645.4
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1579.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1416.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1401.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1374.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1339.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1277.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1268.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1261.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1177.9
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
963.4
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
853.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
731.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
700.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
616.9
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
602.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
599.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
587.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
584.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
580.7
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
566.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
564.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
552.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
503.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
460.1
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
426.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
423.1
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
393.1
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
392.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
296.1
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
220.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
193.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 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.
CD74 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
5213.2
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
21534.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
21330.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
20711.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
17572.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
17122.9
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
16878.6
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
16478.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
16309.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
16259.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
16196.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
16166.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
15935.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
15670.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
15652.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
14576.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
14550.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
13732.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
13691.5
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
13673.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
13581.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
13430.4
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
13279.9
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
13167.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
13076.5
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
13008.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
12783.6
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
12696.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
12380.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
12195.7
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
12181.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
11996.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
11870.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
11860.0
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
11694.0
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
11427.6
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
11296.6
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
11132.6
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
10991.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
10866.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
10860.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
10704.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
10696.9
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
10559.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
10413.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
10271.9
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
10193.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
10091.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
9974.1
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
9908.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
9852.3
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
9483.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
9471.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
9468.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
9394.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
9253.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
9161.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
9130.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
9105.7
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
9023.5
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
8957.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
8847.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
8739.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8714.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
8700.9
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
8664.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
8587.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
8447.1
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
8388.6
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
8340.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
8298.3
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
8262.9
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
8226.3
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
8203.9
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
8167.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
8137.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
8078.4
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
8027.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7997.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
7975.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
7948.9
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
7870.2
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
7845.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
7810.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
7810.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
7716.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
7707.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
7670.3
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
7667.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
7604.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
7567.1
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
7525.7
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
7502.8
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
7487.6
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
7482.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
7400.0
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
7391.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
7266.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
7237.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
7229.6
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7189.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7182.1
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
7132.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
7119.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
7073.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
7050.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
7002.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
7000.7
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
6962.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
6895.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6877.8
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
6855.3
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
6823.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
6816.3
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6814.9
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
6812.1
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
6778.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
6757.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6735.4
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
6723.5
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
6720.8
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
6699.6
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
6682.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
6675.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
6639.6
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
6621.6
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
6610.0
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
6537.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
6506.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6394.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6390.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
6386.6
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6363.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6353.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
6351.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
6336.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
6334.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
6322.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
6294.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
6257.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
6229.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6215.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
6174.4
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
6117.0
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
6104.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
6100.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
6062.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6055.4
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
6054.0
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
6033.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
6020.8
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5973.1
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5962.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5914.3
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
5906.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5891.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
5888.1
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5835.0
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
5832.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
5806.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5792.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
5773.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
5761.3
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
5752.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5746.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
5733.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
5719.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5714.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
5709.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
5704.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
5703.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
5698.5
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5684.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
5683.3
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
5663.7
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
5662.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
5644.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
5605.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
5593.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
5586.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
5584.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5580.1
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
5546.4
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
5539.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
5503.5
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
5503.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5475.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5445.0
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
5431.9
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
5426.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
5409.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
5376.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5370.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
5349.5
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
5335.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
5328.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
5321.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
5298.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5259.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
5240.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
5237.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
5202.7
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
5201.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
5196.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
5189.1
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5188.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
5187.7
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
5168.3
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
5158.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5153.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
5148.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5133.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
5126.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
5118.3
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
5099.9
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
5095.7
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
5083.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
5082.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
5081.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
5064.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
5053.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
5019.2
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
5018.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
5013.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4989.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4985.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4963.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
4917.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4912.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4912.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4882.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4878.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4874.3
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4849.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
4827.1
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4827.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4785.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
4783.0
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
4776.6
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4776.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4771.1
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4746.8
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4712.1
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4700.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
4695.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
4692.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4625.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
4613.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
4609.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4601.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4600.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4582.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4557.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
4542.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4540.0
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
4537.7
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
4528.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
4527.9
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
4522.5
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4493.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4491.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4474.0
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
4469.5
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4446.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4419.7
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
4406.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
4397.1
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
4395.3
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
4374.5
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4358.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4330.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4296.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
4294.9
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4292.2
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4286.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
4273.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
4272.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4191.0
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4189.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4166.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4163.2
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
4122.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
4119.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4097.4
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4080.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
4075.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4069.5
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4063.1
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4061.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
4059.7
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4052.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4044.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
4042.3
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4023.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3953.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3946.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3930.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3906.1
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3887.9
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3887.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3886.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3876.1
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3874.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3866.7
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3860.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
3859.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3850.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3827.9
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3813.5
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3798.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3798.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3771.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
3766.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3756.4
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3738.9
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3724.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3722.8
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3720.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3712.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3710.2
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
3686.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3684.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3678.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
3663.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3650.7
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3637.7
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3636.1
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3626.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3617.9
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
3597.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3596.4
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3569.6
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3567.6
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3566.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3555.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3552.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3551.6
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3546.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3531.4
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3508.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3486.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3480.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3475.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3459.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3459.3
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3451.5
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3446.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3444.5
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3432.5
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3429.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3416.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3411.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3400.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3399.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3378.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3367.3
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3365.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3356.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
3331.2
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3330.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3323.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3317.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3317.0
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3307.6
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
3287.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3287.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3269.1
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
3254.0
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
3239.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
3219.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3215.9
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3212.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3178.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
3150.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3147.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3110.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3109.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3106.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3098.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
3081.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3080.6
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3058.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3042.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3031.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3016.9
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3010.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2997.1
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2981.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2896.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2892.3
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
2878.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2862.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2843.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2833.8
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2831.0
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
2793.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2791.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2787.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2782.1
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2779.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2758.4
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2753.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2750.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2748.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2743.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2740.0
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2735.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2721.3
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2711.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2711.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2708.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2707.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2680.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2655.2
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2649.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2647.9
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2621.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2610.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2597.6
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2588.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2538.0
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2537.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2505.7
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2489.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2464.2
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2462.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2444.0
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
2432.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2428.1
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2417.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2408.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2390.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2376.5
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2371.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2367.0
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2335.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2334.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
2331.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2324.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2309.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2280.8
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2274.3
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2264.0
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2255.8
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2220.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2215.4
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
2209.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2188.0
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
2183.2
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2153.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2144.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2137.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2134.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2095.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2089.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
2085.5
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2075.7
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2069.9
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2058.9
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2044.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2044.6
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2040.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2028.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2024.2
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
1997.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
1991.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1983.1
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1969.6
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
1968.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1953.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1953.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1928.8
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1927.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1880.5
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1877.2
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1869.1
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1868.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1856.9
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1848.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1821.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
1778.4
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1770.7
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1741.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1739.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
1736.2
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1707.9
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1676.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1655.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1653.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1628.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
1536.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1479.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1392.8
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1368.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1364.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
1310.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
1264.7
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1259.6
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1246.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1226.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1180.8
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1091.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1052.7
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
1044.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1039.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1038.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
930.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
916.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
905.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
800.5
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
772.5
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
750.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
710.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
639.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
568.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
555.7
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
548.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
532.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
448.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
276.1
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
174.6
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 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.
CD74 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
4703.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
14908.2
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
13071.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
12203.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
11568.4
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
11141.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
10877.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
10847.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
10257.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
9852.9
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
9567.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
9393.4
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
8379.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
7932.8
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
7910.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
7758.9
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
7655.7
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
7566.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
7345.4
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7005.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
6935.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
6874.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
6812.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
6748.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6659.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
6455.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
6104.7
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6044.1
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
5992.4
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5148.0
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
5053.4
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4983.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4946.5
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4878.5
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
4828.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4687.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4634.8
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4607.8
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4535.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
4497.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
4439.7
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
4266.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
4217.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
4166.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
4105.0
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4095.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4090.6
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
4001.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
4001.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4000.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3932.7
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3887.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3708.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3691.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3651.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3591.1
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3538.7
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3523.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3493.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3486.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3441.1
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3424.0
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3373.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3370.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3359.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3342.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3338.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3333.3
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3269.4
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3109.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3063.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2996.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2879.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2826.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2762.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2648.9
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2626.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2623.8
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2521.8
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2490.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2482.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
2480.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2475.1
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2290.1
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2175.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2155.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2040.4
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1953.2
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1900.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1869.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1711.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1681.3
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1516.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1473.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1306.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1244.9
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1169.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
929.5
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
914.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
650.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CD74 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
2776.8
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
24132.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
19971.7
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
12901.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
12327.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
10911.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
8584.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
8214.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
8110.1
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
7927.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
7688.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
7572.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
7429.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
7381.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
7208.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
7156.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
7140.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
7119.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
6937.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
6827.9
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
6713.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6473.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
6468.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
6446.9
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
6379.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
6259.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
6223.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
6076.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6046.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
5891.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
5745.4
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5658.2
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
5570.3
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
5561.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
5518.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
5351.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
5335.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
5257.9
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
5147.4
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4897.2
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4759.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
4689.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
4611.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
4553.6
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
4364.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4337.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4268.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
4218.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4161.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4128.8
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
4024.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
4008.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
3956.5
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3852.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3839.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
3838.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
3812.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3775.3
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3752.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
3689.8
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
3664.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3602.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3589.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
3505.9
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3483.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3467.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3451.7
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
3444.2
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3423.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3417.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
3402.9
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3387.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3352.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
3299.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3272.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
3257.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
3209.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3206.0
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
3146.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3142.1
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
3135.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
3010.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2997.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
2980.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
2962.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2960.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2949.4
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2944.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2943.4
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2924.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2918.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2916.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2912.1
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2895.2
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2880.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2865.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2858.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2850.4
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2839.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
2833.9
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
2824.5
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
2808.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
2777.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2746.5
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2744.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2742.9
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
2720.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2699.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2686.5
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2660.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2647.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2646.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2611.3
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2609.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2583.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2542.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2535.9
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
2516.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2504.9
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2490.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
2479.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2437.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2435.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2434.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
2434.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2423.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2413.9
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
2406.6
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
2402.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2372.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2334.2
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2318.9
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2293.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2278.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2271.6
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
2269.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2250.5
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2245.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
2245.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
2238.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2224.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2215.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2214.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2196.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2181.3
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2177.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2137.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
2118.0
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2114.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2095.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2079.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
2070.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1973.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1909.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1886.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1884.2
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1846.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1842.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1825.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1780.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1771.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1765.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1731.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1709.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1707.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1702.8
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1695.1
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1685.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1684.7
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1683.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1673.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1654.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1642.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1641.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1635.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1597.8
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1597.3
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1586.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1576.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1576.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1570.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1561.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1559.4
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1537.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1528.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1520.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1501.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1498.1
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1496.0
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1486.2
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1459.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1455.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1450.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1447.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
1408.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1403.1
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1398.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1350.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1346.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1338.0
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1331.2
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1292.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1292.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1280.1
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1268.3
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1249.0
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
1230.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1219.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1212.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
1205.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1199.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1195.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1177.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1167.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1165.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1147.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1145.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1145.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1129.4
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1123.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1114.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1111.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1097.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1087.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1070.5
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1045.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1032.4
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
979.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
967.6
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
966.6
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
956.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
946.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
940.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
906.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
902.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
898.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
882.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
871.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
846.4
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
841.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
829.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
814.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
813.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
813.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
798.4
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
795.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
776.7
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
766.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
757.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
735.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
725.3
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
721.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
692.3
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
642.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
641.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
630.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
611.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
605.6
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
603.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
586.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
576.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
570.6
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
570.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
566.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
557.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
541.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
539.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
498.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
492.6
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
485.9
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
479.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
477.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
470.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
462.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
436.7
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
397.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
387.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
360.9
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
333.3
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
318.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
259.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
205.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
78.6
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0012180003
Tumor
1.8
CPT0015730003
Tumor
1.7
CPT0078990003
Tumor
1.5
CPT0002350011
Tumor
1.4
CPT0069000003
Tumor
1.3
CPT0092160003
Tumor
1.3
CPT0086360003
Tumor
1.3
CPT0086870003
Tumor
1.3
CPT0020120003
Tumor
1.3
CPT0010110003
Tumor
1.3
CPT0024670003
Tumor
1.2
CPT0023350003
Tumor
1.2
CPT0012280003
Tumor
1.2
CPT0065810003
Tumor
1.2
CPT0088550004
Tumor
1.1
CPT0007320003
Tumor
1.0
CPT0025290003
Tumor
1.0
CPT0064370003
Tumor
1.0
CPT0001260009
Tumor
0.9
CPT0025880003
Tumor
0.9
CPT0079380003
Tumor
0.9
CPT0086820003
Tumor
0.9
CPT0025050003
Tumor
0.8
CPT0087040003
Tumor
0.8
CPT0012670003
Tumor
0.8
CPT0065430003
Tumor
0.8
CPT0006440003
Tumor
0.7
CPT0079180003
Tumor
0.7
CPT0092730003
Tumor
0.6
CPT0012550003
Tumor
0.6
CPT0078510003
Tumor
0.6
CPT0088970003
Tumor
0.6
CPT0001180009
Tumor
0.6
CPT0079270003
Tumor
0.6
CPT0075560003
Tumor
0.5
CPT0014370004
Tumor
0.5
CPT0065690003
Tumor
0.5
CPT0079480003
Tumor
0.5
CPT0015910003
Tumor
0.5
CPT0019990003
Tumor
0.4
CPT0001540009
Tumor
0.4
CPT0025230003
Tumor
0.4
CPT0014160003
Tumor
0.4
CPT0000870016
Tumor
0.4
CPT0069160003
Tumor
0.4
CPT0088690003
Tumor
0.3
CPT0001340003
Tumor
0.3
CPT0081600003
Tumor
0.3
CPT0081880003
Tumor
0.3
CPT0081990003
Tumor
0.2
CPT0065870003
Tumor
0.2
CPT0063630003
Tumor
0.2
CPT0076330003
Tumor
0.2
CPT0006900003
Tumor
0.2
CPT0017410003
Tumor
0.2
CPT0079230003
Tumor
0.2
CPT0078660003
Tumor
0.1
CPT0086030003
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0007860003
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0001500009
Tumor
0.1
CPT0021240003
Tumor
0.0
CPT0025170003
Tumor
0.0
CPT0023690003
Tumor
0.0
CPT0000640003
Tumor
0.0
CPT0077310003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0026410003
Tumor
0.0
CPT0001220008
Tumor
0.0
CPT0025110003
Tumor
0.0
CPT0063320003
Tumor
0.0
CPT0066470004
Tumor
-0.1
CPT0075130003
Tumor
-0.1
CPT0088760003
Tumor
-0.1
CPT0017850003
Tumor
-0.1
CPT0078930003
Tumor
-0.1
CPT0001270001
Normal
-0.1
CPT0025350003
Tumor
-0.1
CPT0002270011
Tumor
-0.1
CPT0092790003
Tumor
-0.1
CPT0079410003
Tumor
-0.1
CPT0077320001
Normal
-0.2
CPT0084590001
Normal
-0.2
CPT0085670003
Tumor
-0.2
CPT0012900004
Tumor
-0.2
CPT0009060003
Tumor
-0.2
CPT0086950003
Tumor
-0.2
CPT0065750003
Tumor
-0.2
CPT0001350001
Normal
-0.2
CPT0001190001
Normal
-0.2
CPT0006530001
Normal
-0.2
CPT0012080003
Tumor
-0.2
CPT0066480003
Tumor
-0.3
CPT0014450004
Tumor
-0.3
CPT0078830003
Tumor
-0.3
CPT0078530001
Normal
-0.3
CPT0075570001
Normal
-0.3
CPT0089040001
Normal
-0.3
CPT0069190001
Normal
-0.3
CPT0071150004
Tumor
-0.3
CPT0075720003
Tumor
-0.3
CPT0088900003
Tumor
-0.3
CPT0012370003
Tumor
-0.3
CPT0088570001
Normal
-0.3
CPT0089460004
Tumor
-0.3
CPT0078800003
Tumor
-0.4
CPT0025580004
Tumor
-0.4
CPT0066520001
Normal
-0.4
CPT0019130003
Tumor
-0.4
CPT0075170001
Normal
-0.4
CPT0006630003
Tumor
-0.4
CPT0077110003
Tumor
-0.4
CPT0014130001
Normal
-0.4
CPT0017450001
Normal
-0.4
CPT0010160003
Tumor
-0.4
CPT0015810003
Tumor
-0.4
CPT0076350001
Normal
-0.4
CPT0065820001
Normal
-0.4
CPT0012290003
Normal
-0.4
CPT0014350001
Normal
-0.5
CPT0092290003
Tumor
-0.5
CPT0000890001
Normal
-0.5
CPT0000780007
Tumor
-0.5
CPT0063640001
Normal
-0.5
CPT0065930003
Tumor
-0.5
CPT0014470001
Normal
-0.5
CPT0084560003
Tumor
-0.5
CPT0009000003
Tumor
-0.5
CPT0088630003
Tumor
-0.5
CPT0088710001
Normal
-0.5
CPT0079430001
Normal
-0.6
CPT0063330001
Normal
-0.6
CPT0079300001
Normal
-0.6
CPT0079000001
Normal
-0.6
CPT0082010001
Normal
-0.6
CPT0010170001
Normal
-0.6
CPT0019160001
Normal
-0.7
CPT0088500001
Normal
-0.7
CPT0088920001
Normal
-0.7
CPT0065450001
Normal
-0.7
CPT0092800003
Normal
-0.7
CPT0088780001
Normal
-0.7
CPT0013790003
Normal
-0.7
CPT0002370001
Normal
-0.7
CPT0069010001
Normal
-0.7
CPT0001550001
Normal
-0.7
CPT0081620001
Normal
-0.7
CPT0086370003
Normal
-0.7
CPT0011410003
Tumor
-0.7
CPT0023360001
Normal
-0.7
CPT0011240003
Tumor
-0.7
CPT0086890003
Normal
-0.7
CPT0026420001
Normal
-0.7
CPT0000660001
Normal
-0.7
CPT0001510001
Normal
-0.7
CPT0010120001
Normal
-0.8
CPT0020130001
Normal
-0.8
CPT0020020001
Normal
-0.8
CPT0018250001
Normal
-0.8
CPT0079510001
Normal
-0.8
CPT0025060001
Normal
-0.8
CPT0078670001
Normal
-0.8
CPT0064400001
Normal
-0.8
CPT0086970003
Normal
-0.8
CPT0000790001
Normal
-0.8
CPT0012090003
Normal
-0.8
CPT0092310003
Normal
-0.8
CPT0025610001
Normal
-0.8
CPT0006950001
Normal
-0.8
CPT0012640003
Normal
-0.8
CPT0012570003
Normal
-0.9
CPT0086830003
Normal
-0.9
CPT0024680001
Normal
-0.9
CPT0088640003
Normal
-0.9
CPT0078940001
Normal
-0.9
CPT0087050003
Normal
-0.9
CPT0092740003
Normal
-0.9
CPT0007470001
Normal
-1.0
CPT0025920001
Normal
-1.0
CPT0009020003
Normal
-1.0
CPT0077140001
Normal
-1.0
CPT0012920003
Normal
-1.0
CPT0006730001
Normal
-1.0
CPT0078840001
Normal
-1.1
CPT0001230001
Normal
-1.1
CPT0012770003
Normal
-1.1
CPT0023710001
Normal
-1.1
CPT0089480003
Normal
-1.1
CPT0007870001
Normal
-1.2
CPT0077490003
Tumor
-1.2
CPT0009080003
Normal
-1.2
CPT0077500001
Normal
-1.3
CPT0066430001
Normal
-1.4
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
