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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.
TMSB10 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1020.7
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
13357.4
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
11015.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2047.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1493.2
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1464.1
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1294.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1215.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1077.7
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1023.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
951.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
890.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
877.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
874.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
866.9
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
848.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
830.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
788.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
778.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
765.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
765.3
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
749.1
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
704.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
700.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
672.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
639.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
613.2
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
606.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
605.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
594.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
593.5
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
591.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
585.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
574.3
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
571.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
569.0
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
565.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
560.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
553.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
549.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
541.8
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
538.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
534.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
532.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
530.8
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
508.3
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
506.4
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
489.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
484.0
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
451.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
443.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
442.9
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
440.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
419.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
418.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
391.0
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
383.9
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
373.8
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
373.5
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
323.0
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
305.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
282.5
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
274.5
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
274.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 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.
TMSB10 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5969.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
17519.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
16706.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
14850.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
14644.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
14598.3
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
14260.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
14041.1
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
13332.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
12982.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
12777.3
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
12351.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
12208.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
12029.1
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
12011.2
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
12008.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
11942.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
11860.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
11693.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
11683.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
11555.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
11473.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
11449.7
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
11383.4
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
11256.1
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
11047.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
11035.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
11022.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
10993.8
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
10953.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
10941.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
10850.2
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
10820.0
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
10727.6
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
10713.7
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
10685.6
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
10645.8
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
10624.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
10588.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
10276.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
10255.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
10131.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
10051.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
9871.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
9845.4
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
9822.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
9807.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
9783.0
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
9682.5
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
9670.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
9611.3
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
9511.6
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
9498.3
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
9461.9
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
9447.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
9414.1
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
9393.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
9341.0
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
9315.2
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
9288.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
9285.9
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
9246.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
9235.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
9140.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
9120.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
9109.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
9102.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
8813.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
8805.9
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
8666.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
8665.5
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
8502.8
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
8499.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
8493.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
8453.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
8444.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
8433.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
8409.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
8402.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
8338.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
8335.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
8311.1
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
8309.2
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
8229.4
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
8212.4
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
8198.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
8147.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
8116.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
8089.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
8073.3
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
8043.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
7988.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
7986.6
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
7968.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
7961.3
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
7953.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
7917.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
7794.1
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
7783.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
7751.9
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
7732.9
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
7726.4
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
7708.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
7662.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
7656.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
7654.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
7632.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
7621.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
7613.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
7599.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
7575.1
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
7560.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7539.1
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
7524.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
7514.2
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
7493.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
7489.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
7478.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
7328.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
7262.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7246.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7216.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
7210.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
7210.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
7192.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
7146.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
7137.5
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
7123.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
7066.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
7062.6
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
7034.8
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
7010.3
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
7002.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
6995.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
6991.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
6981.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
6964.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
6946.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
6943.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
6922.4
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
6920.3
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
6915.5
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
6904.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
6883.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6875.9
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
6850.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
6832.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
6827.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
6813.4
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
6802.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
6791.3
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
6765.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
6763.5
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
6754.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6737.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6733.6
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
6727.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
6719.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
6711.4
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6710.2
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6701.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
6685.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6681.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
6654.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
6647.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
6640.1
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
6622.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
6607.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
6600.0
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
6597.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
6594.9
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
6591.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
6589.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
6552.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6549.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
6537.9
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
6525.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
6517.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
6514.3
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
6513.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
6493.5
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
6490.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
6426.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
6424.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
6417.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
6406.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
6403.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
6383.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
6379.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
6372.4
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
6328.7
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
6322.0
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
6306.3
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
6300.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
6281.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
6273.5
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
6266.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
6232.8
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
6230.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
6210.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
6209.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
6181.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
6178.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
6170.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
6145.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
6134.1
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
6129.8
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
6114.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
6104.0
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
6095.6
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
6084.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
6079.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
6075.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
6072.2
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
6068.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
6034.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
6014.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
6004.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
5988.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
5980.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
5968.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
5962.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
5955.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
5948.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
5937.1
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5920.5
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
5919.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
5914.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
5906.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5901.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
5898.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
5898.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
5883.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
5879.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5877.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
5868.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
5851.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
5842.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5838.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
5837.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
5831.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5816.3
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5806.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
5800.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
5791.2
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
5779.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
5757.7
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
5748.2
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
5721.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
5711.9
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
5696.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
5694.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5694.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
5682.9
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
5676.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
5655.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5623.1
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
5606.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
5602.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
5598.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
5591.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
5574.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
5566.4
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
5563.2
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
5559.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5556.2
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
5554.1
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
5542.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
5541.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
5526.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
5495.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
5480.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
5469.4
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5465.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
5450.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
5437.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
5436.7
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
5420.0
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
5418.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
5398.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
5389.7
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5384.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
5376.2
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
5363.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
5358.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
5353.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
5350.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
5349.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5340.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
5337.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
5335.0
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5331.0
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5324.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
5318.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
5315.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
5298.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
5298.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
5280.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
5272.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
5235.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
5214.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
5207.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
5203.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
5202.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
5191.3
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
5190.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
5186.0
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
5181.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
5178.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5164.9
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
5155.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
5144.8
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
5136.9
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
5104.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5103.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
5081.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
5077.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
5069.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
5055.6
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5053.2
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5037.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
5037.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5036.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5035.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
5031.9
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5020.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5018.9
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5006.6
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
5000.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4985.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
4980.8
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4965.8
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4952.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
4950.1
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4945.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
4932.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4932.1
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4900.4
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4893.1
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4891.6
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
4889.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
4888.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4879.2
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4877.1
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
4864.3
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
4855.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4853.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4849.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4848.8
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
4847.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
4836.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
4826.3
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4817.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
4815.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
4796.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4795.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4763.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
4754.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
4737.1
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4731.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4726.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4724.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4674.4
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4670.5
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4666.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4643.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4634.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4619.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
4604.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
4600.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
4599.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4579.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4573.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4551.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
4551.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
4541.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
4533.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4510.8
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4501.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
4473.0
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
4463.1
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4462.1
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4442.9
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
4420.4
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
4415.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4409.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4408.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4407.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
4401.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4397.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4376.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4364.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4359.8
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
4330.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4330.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
4310.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4309.3
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4288.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4284.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
4276.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
4267.4
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4258.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
4253.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4245.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
4235.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
4226.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
4178.0
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4176.7
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
4138.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4133.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4121.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
4115.5
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4107.8
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
4101.0
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4091.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4090.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4087.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4085.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
4082.2
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
4060.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4042.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
4035.8
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
4027.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4018.4
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
4011.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
4004.6
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
3990.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3946.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3928.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3918.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3918.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3915.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
3911.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3907.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3906.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3889.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
3861.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
3851.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3846.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
3815.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3780.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3772.2
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3767.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3752.9
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
3748.2
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
3713.3
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3695.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
3662.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3660.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
3650.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3643.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
3633.9
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
3630.4
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3617.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3609.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3596.3
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3490.4
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3472.6
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3437.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3407.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3383.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3344.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3333.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3324.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3308.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3298.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
3293.1
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3264.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3262.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3258.9
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3248.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3244.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3227.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
3193.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
3076.3
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3061.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3007.9
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
3000.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2989.3
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2964.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2949.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2945.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
2927.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2889.4
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2830.4
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2823.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2808.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2751.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2731.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2650.0
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2646.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2531.8
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2398.1
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
2308.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2212.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2200.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2167.4
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1897.8
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1877.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
1854.0
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1777.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1684.4
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1635.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1504.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1488.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1382.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1348.9
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1330.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1189.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1008.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
882.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
821.5
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
777.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
727.8
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
671.0
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
647.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
641.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
582.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
508.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
501.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
500.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 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.
TMSB10 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4945.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
15895.0
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
12077.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
8751.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
8737.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
8463.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
8407.3
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
8397.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
8351.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
7630.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
7530.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
7347.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
7342.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
7176.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
6935.0
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
6708.5
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
6589.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
6585.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6388.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
6261.9
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
6122.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
6090.0
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
6030.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
5845.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
5768.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
5723.0
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
5719.1
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
5712.8
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
5623.6
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5579.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
5496.9
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
5384.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5352.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
5316.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5294.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5150.4
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
5112.2
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
5091.7
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5076.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
5070.6
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
5069.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5064.2
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
5040.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
4993.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
4975.5
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4953.9
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
4926.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
4809.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4735.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
4696.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4675.1
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
4621.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
4485.2
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
4414.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
4383.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4374.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4356.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
4328.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4270.1
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
4255.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
4251.3
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
4175.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4171.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
4160.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4073.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4038.3
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
4024.7
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3990.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3963.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3945.4
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3944.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3923.5
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3901.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3844.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3837.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3832.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3769.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3685.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
3680.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3656.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3626.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3613.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3404.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3282.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3254.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3142.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3092.9
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2978.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2837.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2794.2
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2774.8
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2704.5
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2702.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2633.0
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2605.6
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2559.2
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2212.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2178.3
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2054.8
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1154.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 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.
TMSB10 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6155.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
24338.0
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
22656.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
20290.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
18101.3
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
17493.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
15644.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
14862.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
14271.9
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
14138.7
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
14051.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
13969.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
13536.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
13497.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
12634.3
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
12550.5
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
12240.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
11992.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
11960.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
11744.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
11742.1
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
11652.2
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
11612.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
11565.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
11396.1
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
11114.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
11023.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
11014.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
10977.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
10846.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
10576.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
10231.9
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
9924.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
9920.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
9855.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
9838.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
9817.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
9779.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
9772.0
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
9666.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
9442.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
9359.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
9303.8
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
9138.4
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
9135.6
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
8840.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
8785.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
8779.8
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
8775.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
8717.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
8711.5
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
8690.5
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
8523.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
8462.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
8425.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
8404.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
8365.9
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
8351.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
8320.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
8232.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
8137.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
8119.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
8064.7
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
8035.9
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
8000.3
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
7926.2
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
7896.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
7872.2
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
7830.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
7758.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
7752.8
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
7750.8
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
7734.3
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
7677.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
7624.1
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
7623.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
7575.9
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
7575.3
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
7505.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
7467.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
7457.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
7451.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
7434.7
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
7372.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
7365.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
7352.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
7341.8
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
7327.1
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
7252.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
7232.2
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
7161.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
7156.3
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
7151.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
7149.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
7073.7
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
7065.9
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
7056.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
7027.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
6998.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
6992.4
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
6984.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
6959.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
6904.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
6883.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
6863.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6775.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
6754.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
6696.8
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
6672.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
6656.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
6655.7
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
6640.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
6623.9
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
6559.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
6505.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
6486.5
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
6451.3
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
6424.8
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
6408.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
6391.8
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
6332.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
6310.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
6289.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
6183.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
6138.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
6087.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
6060.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
6044.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
6027.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
5992.4
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
5942.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
5873.5
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
5860.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5816.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
5804.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
5760.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
5724.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
5690.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5689.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
5689.4
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
5670.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
5639.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
5572.4
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
5550.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
5547.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
5485.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
5427.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
5402.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
5349.0
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
5324.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
5320.9
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
5311.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
5301.6
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
5269.4
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
5249.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
5207.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
5199.1
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
5163.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
5147.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
5145.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
5132.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
5129.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
5118.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5103.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
5072.4
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
5016.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
5015.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
5014.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
5014.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
4997.9
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
4994.8
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
4976.3
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
4975.5
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
4938.8
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
4919.9
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
4914.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
4908.0
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
4858.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
4835.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
4791.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
4724.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
4690.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
4578.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
4513.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
4509.3
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
4486.6
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
4475.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4454.6
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
4417.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
4337.7
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
4332.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
4281.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4257.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
4250.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4247.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
4193.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4165.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
4152.9
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
4128.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
4101.1
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
4089.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
4049.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
4040.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
3984.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3962.4
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
3863.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3823.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3819.1
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
3815.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
3765.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3737.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3592.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3571.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
3558.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
3551.2
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
3547.2
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
3494.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
3455.3
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
3407.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3284.4
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
3272.3
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
3229.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
3161.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
3084.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
3008.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
2996.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
2942.3
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2928.0
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
2901.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2853.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
2850.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2839.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2830.6
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2690.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
2689.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
2680.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2621.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2581.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2560.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2557.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2548.7
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2503.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2492.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
2470.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2447.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2412.5
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2395.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2346.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
2343.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
2332.4
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2315.9
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2300.8
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2268.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
2242.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
2192.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
2171.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2169.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2122.8
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
2112.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
2104.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
2059.5
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
2050.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2039.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2017.3
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
1997.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1988.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1922.2
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1858.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
1830.3
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
1787.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1664.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1580.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1496.8
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1481.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1344.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1283.7
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1270.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
992.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
666.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
595.1
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
561.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
552.7
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
493.9
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.9
CPT0084560003
Tumor
1.2
CPT0086950003
Tumor
1.0
CPT0015810003
Tumor
1.0
CPT0092190003
Normal
0.9
CPT0078990003
Tumor
0.8
CPT0000780007
Tumor
0.8
CPT0079180003
Tumor
0.8
CPT0088970003
Tumor
0.8
CPT0017410003
Tumor
0.8
CPT0025230003
Tumor
0.8
CPT0063630003
Tumor
0.7
CPT0081600003
Tumor
0.7
CPT0025050003
Tumor
0.7
CPT0075130003
Tumor
0.7
CPT0079380003
Tumor
0.7
CPT0092730003
Tumor
0.7
CPT0088630003
Tumor
0.7
CPT0088690003
Tumor
0.7
CPT0088480003
Tumor
0.7
CPT0010110003
Tumor
0.7
CPT0087040003
Tumor
0.7
CPT0081880003
Tumor
0.6
CPT0000640003
Tumor
0.6
CPT0010160003
Tumor
0.6
CPT0092160003
Tumor
0.6
CPT0075720003
Tumor
0.6
CPT0075170001
Normal
0.6
CPT0077320001
Normal
0.6
CPT0092290003
Tumor
0.6
CPT0065690003
Tumor
0.6
CPT0023350003
Tumor
0.6
CPT0089020003
Tumor
0.6
CPT0079510001
Normal
0.6
CPT0066480003
Tumor
0.6
CPT0086870003
Tumor
0.6
CPT0084590001
Normal
0.6
CPT0001340003
Tumor
0.6
CPT0001540009
Tumor
0.5
CPT0079230003
Tumor
0.5
CPT0014450004
Tumor
0.5
CPT0071150004
Tumor
0.5
CPT0025290003
Tumor
0.5
CPT0010120001
Normal
0.5
CPT0079410003
Tumor
0.5
CPT0077490003
Tumor
0.5
CPT0075560003
Tumor
0.5
CPT0065930003
Tumor
0.5
CPT0088900003
Tumor
0.5
CPT0085670003
Tumor
0.5
CPT0019990003
Tumor
0.5
CPT0092790003
Tumor
0.5
CPT0086030003
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0001260009
Tumor
0.5
CPT0086360003
Tumor
0.4
CPT0021240003
Tumor
0.4
CPT0065870003
Tumor
0.4
CPT0015910003
Tumor
0.4
CPT0007320003
Tumor
0.4
CPT0025880003
Tumor
0.4
CPT0088760003
Tumor
0.4
CPT0025170003
Tumor
0.4
CPT0064370003
Tumor
0.3
CPT0025350003
Tumor
0.3
CPT0001270001
Normal
0.3
CPT0025110003
Tumor
0.3
CPT0006440003
Tumor
0.3
CPT0078800003
Tumor
0.3
CPT0081990003
Tumor
0.3
CPT0007860003
Tumor
0.3
CPT0019130003
Tumor
0.3
CPT0006630003
Tumor
0.3
CPT0014370004
Tumor
0.3
CPT0023690003
Tumor
0.3
CPT0014470001
Normal
0.3
CPT0000870016
Tumor
0.3
CPT0079270003
Tumor
0.3
CPT0078660003
Tumor
0.3
CPT0002350011
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0079300001
Normal
0.3
CPT0014160003
Tumor
0.3
CPT0078930003
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0079480003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0012180003
Tumor
0.2
CPT0089460004
Tumor
0.2
CPT0066470004
Tumor
0.2
CPT0006900003
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0025580004
Tumor
0.2
CPT0086820003
Tumor
0.2
CPT0012280003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0078830003
Tumor
0.2
CPT0069160003
Tumor
0.2
CPT0011410003
Tumor
0.1
CPT0065430003
Tumor
0.1
CPT0017850003
Tumor
0.1
CPT0000660001
Normal
0.1
CPT0020120003
Tumor
0.1
CPT0063320003
Tumor
0.0
CPT0065820001
Normal
0.0
CPT0078510003
Tumor
0.0
CPT0012080003
Tumor
0.0
CPT0077310003
Tumor
0.0
CPT0075570001
Normal
0.0
CPT0011240003
Tumor
0.0
CPT0012550003
Tumor
0.0
CPT0006530001
Normal
-0.1
CPT0065810003
Tumor
-0.1
CPT0000890001
Normal
-0.1
CPT0065750003
Tumor
-0.1
CPT0001190001
Normal
-0.1
CPT0001500009
Tumor
-0.1
CPT0002370001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0063330001
Normal
-0.1
CPT0015730003
Tumor
-0.2
CPT0088570001
Normal
-0.2
CPT0001550001
Normal
-0.2
CPT0086830003
Normal
-0.2
CPT0069190001
Normal
-0.2
CPT0088500001
Normal
-0.2
CPT0086970003
Normal
-0.3
CPT0001510001
Normal
-0.3
CPT0020020001
Normal
-0.3
CPT0088710001
Normal
-0.3
CPT0063640001
Normal
-0.3
CPT0069000003
Tumor
-0.4
CPT0019160001
Normal
-0.4
CPT0078940001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0079430001
Normal
-0.4
CPT0025060001
Normal
-0.4
CPT0001230001
Normal
-0.4
CPT0012670003
Tumor
-0.4
CPT0078530001
Normal
-0.4
CPT0023360001
Normal
-0.4
CPT0007870001
Normal
-0.4
CPT0020130001
Normal
-0.5
CPT0079000001
Normal
-0.5
CPT0002270011
Tumor
-0.5
CPT0088640003
Normal
-0.5
CPT0025920001
Normal
-0.5
CPT0007470001
Normal
-0.5
CPT0000790001
Normal
-0.5
CPT0009000003
Tumor
-0.5
CPT0064400001
Normal
-0.5
CPT0086370003
Normal
-0.5
CPT0013790003
Normal
-0.5
CPT0024670003
Tumor
-0.5
CPT0010170001
Normal
-0.5
CPT0014130001
Normal
-0.5
CPT0082010001
Normal
-0.5
CPT0081620001
Normal
-0.6
CPT0026420001
Normal
-0.6
CPT0077140001
Normal
-0.6
CPT0006730001
Normal
-0.6
CPT0089040001
Normal
-0.6
CPT0025610001
Normal
-0.6
CPT0014350001
Normal
-0.6
CPT0078670001
Normal
-0.6
CPT0078840001
Normal
-0.6
CPT0012640003
Normal
-0.6
CPT0009060003
Tumor
-0.6
CPT0024680001
Normal
-0.6
CPT0077500001
Normal
-0.6
CPT0092310003
Normal
-0.6
CPT0092800003
Normal
-0.6
CPT0076350001
Normal
-0.6
CPT0087050003
Normal
-0.7
CPT0066430001
Normal
-0.7
CPT0088920001
Normal
-0.7
CPT0092740003
Normal
-0.7
CPT0001350001
Normal
-0.8
CPT0006950001
Normal
-0.8
CPT0012290003
Normal
-0.8
CPT0069010001
Normal
-0.8
CPT0088780001
Normal
-0.9
CPT0023710001
Normal
-0.9
CPT0089480003
Normal
-0.9
CPT0065450001
Normal
-0.9
CPT0009020003
Normal
-1.0
CPT0012090003
Normal
-1.0
CPT0012920003
Normal
-1.0
CPT0012570003
Normal
-1.2
CPT0012900004
Tumor
-1.2
CPT0017450001
Normal
-1.3
CPT0018250001
Normal
-1.3
CPT0012770003
Normal
-1.4
CPT0009080003
Normal
-1.5
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
