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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 TPM
1662.5
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
5420.1
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
4834.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
4342.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
3984.5
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
3781.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
3625.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
3615.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
3584.4
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
3393.3
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
3334.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
3220.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3173.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
2954.7
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2642.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2556.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
2495.6
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
2491.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
2394.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2089.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
2058.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1997.3
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1982.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
1944.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1805.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1662.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1538.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1522.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1512.4
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1486.9
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1483.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1354.2
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1252.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
1248.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1243.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1215.7
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1187.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1147.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1135.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1121.7
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1120.6
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1049.0
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
893.7
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
713.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
621.5
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
557.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
539.9
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
534.0
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
527.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
525.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
508.6
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
506.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
496.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
486.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
476.1
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
445.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
403.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
387.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
383.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
344.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
325.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
269.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
192.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
176.3
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 TPM
4296.3
Number of samples
521
Samples
Sample
Description
TPM
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
17751.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
16996.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
16443.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
14730.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
14449.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
13366.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
13191.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
13171.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
13043.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
13030.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
12947.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
12943.7
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
12864.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
12862.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
12172.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
11487.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
11448.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
11399.0
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
11297.6
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
11205.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
10987.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
10935.3
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
10918.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
10794.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
10611.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
10441.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
10271.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
10199.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
10081.1
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
9857.2
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
9674.0
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
9571.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
9550.2
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
9328.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
9139.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
9063.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
8989.3
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
8919.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
8862.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
8739.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
8700.3
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
8642.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
8622.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
8540.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
8432.1
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
8371.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
8366.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
8356.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
7965.9
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
7926.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
7902.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
7801.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
7759.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
7562.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
7500.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
7479.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
7449.2
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
7412.4
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
7411.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
7349.4
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7334.5
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
7326.0
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
7218.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
7171.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
7130.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
7004.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6975.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
6935.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
6878.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
6866.6
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
6724.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
6723.6
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
6716.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
6701.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
6672.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
6669.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
6658.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
6658.2
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
6639.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
6531.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
6496.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
6461.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
6425.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
6391.4
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
6389.4
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
6353.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
6315.4
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
6314.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
6309.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
6296.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
6270.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
6256.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
6243.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6240.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6157.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
6139.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
6128.1
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
6074.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
5931.4
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
5889.8
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5877.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
5839.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
5819.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
5752.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
5750.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5717.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5689.4
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
5680.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5673.5
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
5666.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5663.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
5653.4
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5652.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
5649.5
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
5619.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
5605.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
5576.8
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
5575.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
5571.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
5550.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5544.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
5537.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5533.8
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
5449.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
5445.7
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
5441.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
5428.3
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
5282.9
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
5276.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
5269.3
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
5252.8
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
5248.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
5222.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
5212.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
5199.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
5193.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
5179.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
5165.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5157.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
5070.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
5044.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
5024.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5016.0
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
5006.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
5001.9
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4980.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
4976.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4971.4
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4965.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4946.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4930.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
4918.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4915.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
4913.2
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4908.0
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4899.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4864.5
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
4834.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4834.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
4822.9
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4795.3
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
4773.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4770.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
4753.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
4750.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
4749.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4747.9
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4747.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
4724.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
4705.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4689.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4668.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
4666.0
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4655.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4646.8
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4644.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
4641.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
4636.0
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4626.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4619.3
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
4603.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
4602.3
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4552.2
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
4551.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
4533.5
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4531.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4513.3
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
4492.5
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4483.9
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4475.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
4471.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
4465.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4442.6
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4426.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4406.5
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
4368.3
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
4362.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
4358.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
4354.7
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
4352.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
4334.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4330.8
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4309.2
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4290.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
4281.0
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4269.0
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4247.4
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
4244.7
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
4237.0
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4236.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4220.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
4218.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
4217.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
4215.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4211.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4199.0
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
4197.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4169.8
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4152.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
4134.5
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4124.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
4104.3
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
4100.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4099.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
4096.0
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4089.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4082.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
4071.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4066.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4039.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4038.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4029.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
4006.8
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4003.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3978.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
3974.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3954.7
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3951.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3945.1
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
3937.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3924.0
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
3889.9
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3874.1
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3855.3
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3853.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3829.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3825.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3815.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3806.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3803.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
3799.6
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
3782.7
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
3771.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3766.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3761.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3760.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3741.8
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3718.8
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3708.1
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
3694.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3683.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
3679.1
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3674.1
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
3655.1
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3652.5
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3625.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
3619.2
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3603.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
3598.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
3577.1
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
3563.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3539.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3537.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3529.1
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3495.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3473.4
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3472.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3467.0
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3457.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3455.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3452.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3449.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3447.5
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3443.7
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3428.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3421.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3403.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
3394.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3389.2
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3366.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3348.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3316.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3307.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3301.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3296.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3276.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3270.5
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3263.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3257.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
3249.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3247.7
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3243.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3180.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3176.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
3175.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3170.9
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3142.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3127.7
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3123.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3121.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3119.0
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3115.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3111.7
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
3104.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3102.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3091.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3089.4
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3085.2
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3073.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
3062.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3050.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3034.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3031.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3028.7
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3004.3
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2996.7
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2992.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2983.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2977.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2974.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2973.5
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2967.0
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2956.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2954.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
2948.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2941.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2936.0
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2929.8
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2910.3
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2902.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2901.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2895.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2893.3
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2886.5
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2885.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2861.6
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2861.1
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2859.1
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2850.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2845.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2827.8
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2821.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2818.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2811.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2789.8
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2781.1
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2780.4
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
2774.2
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2773.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2763.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
2757.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
2743.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
2741.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2736.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2728.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2721.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2709.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2707.0
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2699.2
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2693.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2684.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2681.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2668.5
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
2662.8
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2630.9
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2601.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2597.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2580.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2564.0
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2542.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
2505.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2498.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2497.0
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2492.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2483.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2476.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2463.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2446.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2428.4
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2427.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
2413.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2392.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2372.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2369.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
2367.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2361.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2349.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2314.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2307.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2305.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2290.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2288.1
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2284.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
2284.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2278.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2278.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2267.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2255.4
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2254.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2243.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2239.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2221.7
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2212.4
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2197.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2195.3
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2194.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2184.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2167.8
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2166.9
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2122.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2110.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2110.1
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2068.6
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
2052.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2039.1
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
2036.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2031.3
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2030.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2020.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2019.1
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2008.9
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2007.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2005.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2003.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
1956.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
1955.1
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1949.7
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1937.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1903.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1895.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1884.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1874.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1858.8
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1849.8
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1846.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1819.1
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1816.1
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1790.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
1790.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1789.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1787.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1787.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1781.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1766.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1762.5
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1761.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1736.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
1711.3
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1706.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1703.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
1692.5
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1691.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1658.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
1649.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1647.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1646.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1645.8
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1642.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1640.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
1628.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1610.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
1606.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1592.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1591.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1556.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1546.9
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1543.7
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1538.2
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1497.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1490.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
1486.6
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
1458.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1424.3
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1410.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1406.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1388.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1384.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
1356.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1332.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1296.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1245.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1214.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1140.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1128.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
1125.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1084.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1053.8
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
1042.6
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
989.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
959.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
916.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
907.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
887.8
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
886.7
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
877.4
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
825.8
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
772.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
732.5
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
725.8
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
625.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
564.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
555.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
519.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
503.3
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
493.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
448.1
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
448.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
399.8
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
244.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
157.1
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 TPM
3829.1
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
11977.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
10333.1
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
10048.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
9225.4
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
9078.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
9030.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
8693.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
8281.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
8008.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
7921.4
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
7640.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
6790.5
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6446.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
6373.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
6350.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
6258.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
5984.3
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5846.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
5736.6
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
5732.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5635.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
5465.2
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5345.9
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
5300.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5241.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4902.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4888.0
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4838.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
4190.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4187.3
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4144.3
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4042.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4001.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3949.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3853.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
3804.9
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3793.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
3754.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3675.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
3644.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3488.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
3467.6
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3456.7
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3438.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3427.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3356.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
3263.3
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3238.0
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3225.9
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3152.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
3130.4
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3118.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3019.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3006.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2889.8
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2857.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2853.0
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2830.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2802.9
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
2800.5
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2786.4
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2781.9
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2755.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2704.1
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2698.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2674.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2628.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
2539.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2512.6
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2484.6
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2481.2
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2340.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2254.9
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2242.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2189.1
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2184.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
2144.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2121.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2097.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2071.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2056.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2033.2
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1863.1
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1808.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1800.7
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1686.2
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1655.3
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1616.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1543.1
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1369.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1360.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1267.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1235.5
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1076.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1040.2
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
949.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
788.9
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
728.3
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
576.4
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 TPM
2232.6
Number of samples
282
Samples
Sample
Description
TPM
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
19639.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
12332.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
9602.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
9413.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
9182.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
7262.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
6929.2
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
6308.5
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
6037.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
5996.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
5927.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
5903.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
5903.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
5864.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
5848.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
5815.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
5592.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
5585.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
5552.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
5430.3
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
5291.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
5269.9
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
5043.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
5041.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
4886.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
4866.9
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
4857.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
4703.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4555.0
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
4506.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4368.1
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
4344.3
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
4343.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
4228.5
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
4222.1
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
4130.6
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
4115.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
4086.7
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3987.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3952.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3821.7
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3772.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
3717.6
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
3711.3
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
3587.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3529.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3510.2
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3456.4
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3250.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
3231.8
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3168.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3070.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
3047.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3043.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
2993.4
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2979.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2973.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2938.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2927.6
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2913.8
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2885.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
2873.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
2849.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2832.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2826.2
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2822.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2805.1
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
2787.0
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2781.0
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2768.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2750.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2745.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2698.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
2650.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2630.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
2595.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2565.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2556.7
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2541.2
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2535.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2533.9
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
2504.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2462.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2461.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2453.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
2448.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2447.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2446.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2441.0
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2419.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2398.9
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2392.6
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2366.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
2366.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2359.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
2336.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2307.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2297.7
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2275.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2257.3
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2256.4
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2244.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
2226.5
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2211.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2200.9
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2198.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2187.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2176.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2175.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
2168.7
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2131.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2131.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2106.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2105.7
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2102.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
2097.3
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2078.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2072.8
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2034.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2031.5
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2022.6
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2011.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2004.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1980.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1958.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1942.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1928.9
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1927.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1920.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1909.2
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1908.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1896.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1878.2
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1862.2
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1857.1
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1856.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1853.8
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1836.5
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1822.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1802.5
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1795.7
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1780.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1777.5
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1769.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
1734.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1720.9
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1686.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1670.9
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1652.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1629.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1617.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1603.2
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1578.6
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1542.2
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1521.5
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1517.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1503.2
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1500.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1482.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1468.2
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1459.7
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1443.3
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1434.1
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1410.7
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1400.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1400.4
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1396.5
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1394.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1388.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1371.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1348.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1346.1
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1345.9
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1343.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1339.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1331.9
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1330.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1324.3
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1321.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1297.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1294.0
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1284.4
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1280.4
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1271.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1260.2
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1255.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1248.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1246.3
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1237.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1236.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1231.7
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1209.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1200.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
1197.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1192.0
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1125.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1124.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1104.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1099.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1099.6
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1098.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1096.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1081.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1055.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1047.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1045.0
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1035.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1027.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1025.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1021.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
987.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
978.8
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
966.9
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
963.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
962.2
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
953.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
946.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
933.7
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
926.3
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
919.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
910.4
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
908.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
890.1
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
857.3
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
850.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
848.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
810.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
808.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
793.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
787.2
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
778.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
764.2
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
760.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
754.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
743.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
735.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
720.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
703.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
693.6
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
688.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
685.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
683.5
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
668.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
664.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
660.9
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
652.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
629.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
615.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
596.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
595.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
585.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
546.9
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
524.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
520.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
513.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
506.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
489.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
488.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
484.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
483.5
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
481.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
459.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
458.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
447.1
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
436.9
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
424.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
422.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
404.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
401.9
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
398.7
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
395.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
383.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
382.5
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
361.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
339.3
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
336.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
323.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
276.7
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
219.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
211.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
173.4
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
64.5
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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
