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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.
FTH1 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
2890.1
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
6348.6
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
5403.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
5305.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
5285.1
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
5275.2
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
5273.1
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
5155.1
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
5071.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
4996.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
4880.1
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
4551.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
4408.6
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
4379.1
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
4336.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
4277.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
4211.6
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
3944.0
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
3920.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
3919.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
3843.7
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3752.5
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3579.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
3493.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
3312.7
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
3209.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
3105.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
3083.9
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
2996.1
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2991.3
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2885.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
2774.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2761.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2669.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2525.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
2318.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
2272.2
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
2170.3
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
2142.2
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2121.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
2041.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1979.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1974.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1905.7
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1792.9
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1762.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1727.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1716.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
1661.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1530.5
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1511.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1505.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1490.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1435.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1435.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1339.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1301.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
1191.4
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
1147.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1102.7
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1064.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1038.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
1016.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
913.6
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FTH1 is potential prognostic, high expression is unfavorable 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
5204.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
16867.9
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
15973.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
11793.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
11615.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
11353.6
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
11208.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
10744.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
10091.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
9984.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
9920.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
9846.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
9706.8
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
9415.8
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
9409.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
9191.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
9172.6
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
9013.4
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
9006.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
8995.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
8955.4
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
8941.4
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
8929.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
8919.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
8895.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
8864.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
8712.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
8671.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
8647.7
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
8642.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
8639.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
8565.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
8565.3
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8563.2
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
8540.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
8532.0
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
8440.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
8406.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
8368.9
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
8308.1
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
8258.7
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
8141.2
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
8129.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
8118.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
8095.8
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
8084.2
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
8071.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
8055.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
7972.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
7928.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
7912.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7889.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
7872.8
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
7800.4
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
7800.2
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
7618.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
7602.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
7557.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
7549.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
7538.4
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
7537.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
7499.2
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
7476.6
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
7462.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
7427.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
7415.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
7413.9
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
7360.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
7324.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
7303.5
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
7260.3
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7227.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
7226.6
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
7172.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
7168.6
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
7140.9
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
7094.6
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
7092.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
7066.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
7055.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
7033.7
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
6999.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6998.2
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
6978.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
6977.5
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
6959.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
6912.6
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
6893.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
6891.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6854.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6854.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
6837.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
6811.4
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
6755.3
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
6706.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
6671.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
6661.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
6589.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6575.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
6554.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6540.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
6519.3
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
6502.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
6491.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
6416.8
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6416.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
6400.4
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
6396.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
6395.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
6388.9
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6383.5
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
6306.1
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
6296.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
6294.8
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
6289.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
6287.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
6287.4
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
6282.7
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
6261.5
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
6253.9
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
6237.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
6235.4
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
6229.5
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
6223.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
6210.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
6207.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
6183.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
6178.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
6152.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
6138.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
6137.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
6136.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
6125.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
6110.6
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
6106.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
6093.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
6076.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6076.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
6062.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
6057.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
6044.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
6030.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6024.7
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
6021.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
6020.7
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
6013.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
6010.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
6001.7
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
5999.0
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
5976.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
5966.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
5960.9
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
5944.5
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5936.6
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
5936.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
5934.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
5927.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
5927.5
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
5913.1
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
5910.5
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
5884.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
5877.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
5863.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
5821.4
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
5816.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5804.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
5802.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
5800.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
5791.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
5788.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5775.9
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5772.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
5738.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5733.2
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
5723.7
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
5716.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
5713.8
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
5707.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
5706.2
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
5700.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
5698.7
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
5692.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
5692.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
5689.9
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
5678.0
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
5665.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
5658.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
5650.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
5646.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
5613.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
5610.7
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
5597.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
5596.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
5596.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5588.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
5586.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5566.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
5561.4
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5555.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5551.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
5548.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
5547.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
5542.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5531.7
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
5531.5
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
5496.9
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
5476.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
5471.4
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5465.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
5464.6
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
5456.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
5449.3
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
5427.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5402.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
5379.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
5373.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5373.0
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
5372.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
5357.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5351.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
5340.1
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5270.1
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
5262.6
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
5258.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
5253.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
5250.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
5233.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5221.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
5221.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
5219.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
5213.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
5211.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5195.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
5181.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
5156.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
5133.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
5114.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5111.7
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
5106.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
5097.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
5096.6
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
5092.5
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
5088.7
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
5070.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
5069.9
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
5069.6
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
5069.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
5057.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
5057.3
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
5046.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5044.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5039.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
5035.5
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
5032.9
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
5028.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5015.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
5008.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
5001.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4988.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4982.9
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4977.9
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4955.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
4949.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
4938.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
4933.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
4927.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
4925.4
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
4921.8
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4920.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
4906.4
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
4898.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4889.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
4883.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
4882.2
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4870.5
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
4859.8
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
4843.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4835.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
4834.4
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
4825.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
4821.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
4791.2
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4763.8
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
4759.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
4753.0
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4752.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4744.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4739.6
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
4739.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
4734.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4730.4
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
4714.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
4713.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4703.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
4693.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
4687.0
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4685.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
4681.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
4677.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
4647.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
4638.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4629.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4615.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4610.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
4609.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4589.8
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
4588.7
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
4588.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4582.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4574.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
4574.5
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
4568.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4567.1
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
4564.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
4551.8
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
4548.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4544.9
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
4544.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
4538.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
4526.4
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
4519.6
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
4516.9
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4515.9
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
4493.5
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
4485.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4483.6
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
4481.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
4479.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
4460.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
4455.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4448.8
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
4441.1
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4430.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
4412.7
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
4409.0
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4394.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
4393.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4392.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4386.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4383.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4366.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
4353.7
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
4338.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4329.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
4323.0
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4317.9
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
4312.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
4310.4
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
4301.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
4298.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4296.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4284.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4265.9
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
4265.3
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
4260.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
4257.2
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4251.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
4251.3
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4211.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
4200.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
4188.7
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4176.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4163.0
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
4146.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
4145.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
4140.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
4140.2
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
4123.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
4122.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
4118.6
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4107.8
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4090.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
4081.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
4076.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
4062.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
4057.1
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
4044.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
4044.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4035.2
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
4025.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
4024.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
4010.5
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
4005.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
4003.4
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3968.4
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3963.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3956.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3952.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3950.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3949.7
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3942.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
3911.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3910.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3905.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
3900.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3896.7
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3891.4
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3837.2
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3836.4
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3828.8
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3828.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
3822.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3818.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3810.3
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3810.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3778.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3770.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
3770.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3713.8
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
3713.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
3710.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3698.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3684.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3682.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
3669.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3661.3
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
3657.3
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3653.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3652.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
3650.1
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3641.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3633.5
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3627.6
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3610.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3601.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
3578.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3569.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3564.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3543.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
3531.2
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
3523.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3503.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
3484.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3445.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
3441.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3425.4
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
3422.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
3405.9
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3393.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3388.2
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3386.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3362.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3358.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3351.2
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
3349.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3328.7
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
3321.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
3312.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
3311.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
3299.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
3291.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3260.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
3253.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3246.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
3235.5
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3191.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
3189.5
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3163.4
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
3159.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3127.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3127.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3117.3
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3115.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3094.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
3080.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
3072.3
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3055.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3046.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3045.1
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3032.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3032.0
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2985.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2967.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2962.9
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2857.0
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
2828.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2818.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2804.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2774.8
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2758.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2716.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2708.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2689.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2686.6
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2658.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2654.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2648.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2637.5
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2622.9
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2620.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2595.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2539.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2524.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2521.9
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2504.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
2500.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2486.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2477.2
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2475.9
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2475.4
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2446.6
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2337.9
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
2266.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2197.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2193.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2175.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2090.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
2059.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2053.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1954.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1929.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1918.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1891.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1886.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1837.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1771.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1762.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1732.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1603.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1230.6
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1094.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FTH1 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
5767.3
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
14359.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
13950.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
12093.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
11075.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
11036.7
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
10534.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
10273.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
10115.8
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
9406.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
9353.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
9286.3
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
8858.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
8581.8
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
8453.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
7943.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7757.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
7665.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
7625.0
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
7351.9
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
7089.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
6931.7
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
6881.3
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
6769.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
6707.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
6448.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
6426.6
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
6401.6
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
6325.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
6301.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
6118.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
6087.0
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
6075.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
6025.6
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
6003.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
5997.1
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
5921.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5884.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
5763.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
5747.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
5745.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
5739.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5633.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
5616.1
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5607.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
5509.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
5499.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
5344.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
5325.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
5275.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
5273.1
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5236.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5226.1
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5200.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
5192.7
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
4988.7
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4985.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4966.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
4958.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4952.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
4902.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
4891.8
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4888.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
4723.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
4596.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4544.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4531.0
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
4433.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4420.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
4396.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
4374.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4355.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4351.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4341.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4335.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
4304.2
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
4283.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
4266.3
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
4244.3
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4200.4
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4088.9
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
4043.7
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
4033.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4024.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3980.5
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3827.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3808.3
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3777.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3767.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
3626.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3603.5
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3445.9
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3396.4
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3306.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3085.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
3001.3
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2879.1
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2282.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1977.4
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1924.3
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.
FTH1 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
4388.8
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
27481.1
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
23756.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
19828.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
16627.5
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
16223.8
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
15293.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
13812.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
11980.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
11979.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
11859.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
11666.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
10561.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
10545.8
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
10039.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
9846.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
9469.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
9206.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
8835.7
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
8758.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
8696.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
8475.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
8419.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
7983.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
7971.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
7705.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
7615.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
7614.3
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
7434.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
7422.8
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
7269.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
7255.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
7248.2
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
7242.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
7213.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
7080.8
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
7064.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
6980.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
6932.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
6799.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
6690.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
6663.6
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
6628.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
6566.9
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
6474.8
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
6339.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
6338.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
6277.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
6183.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
6177.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
6153.6
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
6095.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
6063.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
6060.9
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
6049.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
6041.3
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
5910.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
5790.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
5783.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
5736.3
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
5713.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
5713.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
5695.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
5694.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
5595.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
5586.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
5586.6
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5527.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
5473.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
5455.8
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
5441.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
5377.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
5363.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
5349.9
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
5291.0
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
5244.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
5208.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
5199.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5186.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
5134.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
5124.9
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
5122.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
5081.1
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
5074.9
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5065.5
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
5005.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4922.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4837.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
4828.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4828.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4795.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4781.4
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
4753.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
4743.5
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
4724.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4590.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4564.0
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
4493.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4491.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
4457.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4433.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4419.0
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
4416.0
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
4406.6
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4374.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
4309.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4299.3
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4269.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
4262.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
4234.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
4198.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
4187.2
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4181.1
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
4174.5
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
4166.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
4150.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4122.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
4122.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4079.5
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
4022.6
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
4012.8
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
4003.5
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3979.2
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
3972.6
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3952.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
3862.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
3851.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3839.1
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
3837.4
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
3811.0
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3810.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3805.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3799.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
3751.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3743.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3723.9
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3720.9
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3717.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3682.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
3672.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
3672.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3662.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
3652.5
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
3620.4
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
3589.0
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3514.0
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3500.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
3493.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3481.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
3476.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3474.1
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
3464.7
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
3454.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
3453.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3435.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3413.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3385.4
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3385.3
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3374.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
3363.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3362.7
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
3343.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
3329.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
3310.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
3302.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3292.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
3290.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3274.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
3246.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
3245.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
3245.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
3223.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3197.8
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
3193.2
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3163.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
3157.7
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3125.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
3099.4
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3069.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3066.8
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3046.7
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3035.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
3034.4
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
3031.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
3021.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3004.6
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3002.8
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2999.8
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2997.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2989.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2963.1
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2962.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2957.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2949.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
2948.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
2941.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2873.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2825.9
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2816.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2812.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2805.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2801.6
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
2792.9
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2720.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2698.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2687.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2670.5
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2659.2
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2618.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2586.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2561.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
2508.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2402.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2392.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2344.4
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2338.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2335.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2254.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2188.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2177.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2152.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
2116.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2112.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
2078.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2039.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
2036.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2032.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2030.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2017.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1950.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1935.7
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1934.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1882.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1865.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1834.9
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1826.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1824.0
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1815.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1772.3
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1769.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1759.4
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1757.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1743.9
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1693.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1648.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1639.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1629.2
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1613.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1600.5
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1598.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1591.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
1579.2
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1576.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
1565.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1556.0
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1531.7
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
1505.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1445.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1444.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1366.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1333.7
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1315.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1310.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1307.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
1284.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1206.9
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1197.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1166.3
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
1142.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1057.7
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1055.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1036.9
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
989.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
986.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
973.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
951.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
934.5
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
931.2
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
858.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
858.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
809.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
629.8
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
545.9
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0014160003
Tumor
3.4
CPT0092730003
Tumor
2.7
CPT0078510003
Tumor
2.4
CPT0086030003
Tumor
2.3
CPT0025290003
Tumor
2.3
CPT0064370003
Tumor
2.1
CPT0025050003
Tumor
2.0
CPT0079180003
Tumor
1.9
CPT0001500009
Tumor
1.9
CPT0092790003
Tumor
1.9
CPT0065690003
Tumor
1.8
CPT0023690003
Tumor
1.8
CPT0092290003
Tumor
1.7
CPT0065750003
Tumor
1.6
CPT0007860003
Tumor
1.6
CPT0076330003
Tumor
1.6
CPT0065930003
Tumor
1.5
CPT0075560003
Tumor
1.5
CPT0019990003
Tumor
1.4
CPT0089460004
Tumor
1.4
CPT0009000003
Tumor
1.3
CPT0021240003
Tumor
1.3
CPT0020120003
Tumor
1.3
CPT0063320003
Tumor
1.3
CPT0066470004
Tumor
1.2
CPT0012670003
Tumor
1.1
CPT0066480003
Tumor
1.1
CPT0063630003
Tumor
1.1
CPT0017410003
Tumor
1.0
CPT0088760003
Tumor
1.0
CPT0000780007
Tumor
0.9
CPT0077310003
Tumor
0.9
CPT0089020003
Tumor
0.9
CPT0088550004
Tumor
0.8
CPT0012900004
Tumor
0.8
CPT0015910003
Tumor
0.7
CPT0000640003
Tumor
0.5
CPT0025110003
Tumor
0.5
CPT0012080003
Tumor
0.5
CPT0025350003
Tumor
0.4
CPT0065810003
Tumor
0.4
CPT0026420001
Normal
0.4
CPT0086360003
Tumor
0.4
CPT0078660003
Tumor
0.3
CPT0078930003
Tumor
0.3
CPT0006900003
Tumor
0.3
CPT0006440003
Tumor
0.3
CPT0088630003
Tumor
0.3
CPT0006630003
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0001540009
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0010160003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0079480003
Tumor
0.2
CPT0012550003
Tumor
0.1
CPT0087040003
Tumor
0.1
CPT0023350003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0015730003
Tumor
0.1
CPT0081880003
Tumor
0.1
CPT0079380003
Tumor
0.0
CPT0025170003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0077110003
Tumor
-0.1
CPT0077490003
Tumor
-0.1
CPT0007320003
Tumor
-0.1
CPT0069160003
Tumor
-0.1
CPT0014370004
Tumor
-0.2
CPT0012280003
Tumor
-0.2
CPT0015810003
Tumor
-0.2
CPT0001220008
Tumor
-0.3
CPT0079410003
Tumor
-0.3
CPT0002350011
Tumor
-0.3
CPT0081600003
Tumor
-0.4
CPT0019130003
Tumor
-0.4
CPT0092800003
Normal
-0.4
CPT0086950003
Tumor
-0.4
CPT0025060001
Normal
-0.4
CPT0014450004
Tumor
-0.4
CPT0086820003
Tumor
-0.4
CPT0088480003
Tumor
-0.5
CPT0075720003
Tumor
-0.5
CPT0088970003
Tumor
-0.5
CPT0065450001
Normal
-0.5
CPT0012370003
Tumor
-0.5
CPT0020020001
Normal
-0.6
CPT0078830003
Tumor
-0.6
CPT0078990003
Tumor
-0.6
CPT0065430003
Tumor
-0.6
CPT0000870016
Tumor
-0.6
CPT0078530001
Normal
-0.7
CPT0001260009
Tumor
-0.7
CPT0078800003
Tumor
-0.7
CPT0017850003
Tumor
-0.7
CPT0065820001
Normal
-0.7
CPT0075130003
Tumor
-0.7
CPT0077140001
Normal
-0.8
CPT0025880003
Tumor
-0.8
CPT0085670003
Tumor
-0.8
CPT0006950001
Normal
-0.8
CPT0078940001
Normal
-0.8
CPT0011240003
Tumor
-0.8
CPT0089040001
Normal
-0.8
CPT0092310003
Normal
-0.8
CPT0079270003
Tumor
-0.8
CPT0025580004
Tumor
-0.9
CPT0064400001
Normal
-0.9
CPT0086370003
Normal
-0.9
CPT0092740003
Normal
-0.9
CPT0086970003
Normal
-0.9
CPT0076350001
Normal
-0.9
CPT0009080003
Normal
-1.0
CPT0001340003
Tumor
-1.0
CPT0078670001
Normal
-1.0
CPT0024670003
Tumor
-1.0
CPT0014470001
Normal
-1.0
CPT0079510001
Normal
-1.0
CPT0009060003
Tumor
-1.0
CPT0011410003
Tumor
-1.0
CPT0088570001
Normal
-1.0
CPT0089480003
Normal
-1.0
CPT0000790001
Normal
-1.0
CPT0082010001
Normal
-1.1
CPT0088690003
Tumor
-1.1
CPT0023710001
Normal
-1.1
CPT0001270001
Normal
-1.1
CPT0079000001
Normal
-1.1
CPT0010110003
Tumor
-1.1
CPT0088780001
Normal
-1.1
CPT0088500001
Normal
-1.1
CPT0079230003
Tumor
-1.1
CPT0001510001
Normal
-1.1
CPT0001190001
Normal
-1.1
CPT0086890003
Normal
-1.1
CPT0066520001
Normal
-1.1
CPT0063330001
Normal
-1.1
CPT0087050003
Normal
-1.2
CPT0086870003
Tumor
-1.2
CPT0078840001
Normal
-1.2
CPT0020130001
Normal
-1.2
CPT0069190001
Normal
-1.2
CPT0006730001
Normal
-1.2
CPT0001550001
Normal
-1.2
CPT0001180009
Tumor
-1.2
CPT0088640003
Normal
-1.2
CPT0088920001
Normal
-1.2
CPT0009020003
Normal
-1.2
CPT0001350001
Normal
-1.3
CPT0069010001
Normal
-1.3
CPT0002270011
Tumor
-1.3
CPT0077500001
Normal
-1.3
CPT0007870001
Normal
-1.3
CPT0019160001
Normal
-1.3
CPT0000660001
Normal
-1.3
CPT0075170001
Normal
-1.3
CPT0023360001
Normal
-1.3
CPT0084560003
Tumor
-1.3
CPT0079430001
Normal
-1.3
CPT0006530001
Normal
-1.3
CPT0017450001
Normal
-1.3
CPT0014350001
Normal
-1.3
CPT0012920003
Normal
-1.3
CPT0025920001
Normal
-1.3
CPT0088710001
Normal
-1.3
CPT0012770003
Normal
-1.4
CPT0092190003
Normal
-1.4
CPT0063640001
Normal
-1.4
CPT0066430001
Normal
-1.4
CPT0014130001
Normal
-1.4
CPT0007470001
Normal
-1.5
CPT0077320001
Normal
-1.5
CPT0012180003
Tumor
-1.5
CPT0079300001
Normal
-1.5
CPT0001230001
Normal
-1.5
CPT0081620001
Normal
-1.5
CPT0010170001
Normal
-1.5
CPT0012290003
Normal
-1.5
CPT0012570003
Normal
-1.6
CPT0013790003
Normal
-1.6
CPT0000890001
Normal
-1.6
CPT0075570001
Normal
-1.6
CPT0002370001
Normal
-1.7
CPT0012090003
Normal
-1.7
CPT0069000003
Tumor
-1.7
CPT0010120001
Normal
-1.7
CPT0084590001
Normal
-1.7
CPT0012640003
Normal
-1.8
CPT0018250001
Normal
-1.8
CPT0024680001
Normal
-1.9
CPT0086830003
Normal
-2.0
CPT0065870003
Tumor
-2.0
CPT0025610001
Normal
-2.1
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
