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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.
FTL 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
3145.3
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
17571.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
15989.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
8154.2
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
6065.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
4396.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
4276.0
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
4246.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
4041.3
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
3942.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
3910.1
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3884.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3855.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
3795.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
3766.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
3652.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3561.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3546.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
3532.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3426.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
3315.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
3266.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
3183.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3146.9
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3135.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
3043.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
3014.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2995.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
2915.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2795.7
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2751.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2686.8
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
2669.3
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2549.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2516.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
2509.8
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
2474.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2449.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2354.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2317.0
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
2316.0
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
2252.2
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
2162.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
2025.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
2006.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1989.6
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1932.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1914.9
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1877.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1874.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1866.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1856.3
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1666.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1619.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1495.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1467.2
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
1340.3
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1294.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1268.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1200.1
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1002.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
874.5
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
859.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
840.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 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.
FTL is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6155.1
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
27809.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
22901.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
21329.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
21222.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
20398.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
18858.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
18763.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
18328.1
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
18327.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
17844.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
16283.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
15879.8
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
15330.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
15220.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
14905.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
14871.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
14837.2
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
14226.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
14131.2
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
13134.0
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
12945.1
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
12932.5
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
12898.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
12832.1
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
12565.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
12553.3
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
12298.5
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
12249.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
12145.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
12144.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
12049.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
12000.2
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
11816.7
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
11642.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
11551.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
11464.2
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
11350.6
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
11296.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
11267.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
11184.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
11081.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
10977.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
10951.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
10893.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
10873.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
10864.4
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
10778.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
10701.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
10596.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
10325.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
10117.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
10102.4
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
9998.0
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
9916.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
9861.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
9857.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
9856.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
9782.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
9774.1
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
9720.4
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
9661.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
9610.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
9476.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
9473.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
9323.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
9317.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
9200.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
9157.8
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
9123.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
9113.7
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
9021.8
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
9008.3
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
8964.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
8896.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
8764.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
8758.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
8756.0
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
8608.6
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
8604.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
8577.8
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
8554.7
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
8521.6
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
8519.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
8471.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
8461.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
8457.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
8429.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
8412.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
8395.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
8371.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
8362.9
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
8359.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
8330.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
8244.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
8211.7
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
8153.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
8146.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
8107.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
8105.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
8089.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
8032.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
8009.1
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
7999.6
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
7991.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
7987.1
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
7975.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
7954.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
7910.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
7881.1
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
7869.4
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
7860.7
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
7846.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
7823.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
7783.5
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
7769.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
7769.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
7753.3
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
7724.6
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
7668.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
7665.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
7654.3
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
7591.7
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
7590.5
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
7580.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
7564.5
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
7452.2
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
7432.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
7430.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
7423.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
7345.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
7344.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
7273.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
7263.5
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
7230.2
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
7225.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
7195.3
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
7181.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
7114.3
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
7098.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
7097.8
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
6992.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
6981.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
6980.1
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
6966.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
6960.7
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
6946.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
6912.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
6888.3
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6887.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
6879.8
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
6879.3
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6853.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
6790.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
6759.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
6732.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
6706.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
6695.2
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
6682.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
6671.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6631.2
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
6617.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
6568.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
6566.0
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
6512.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
6489.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
6481.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
6446.4
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
6441.6
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
6430.9
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
6407.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6400.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6399.5
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
6380.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
6378.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
6378.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
6369.9
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
6351.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
6350.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
6348.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
6347.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
6316.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
6308.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
6274.5
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
6272.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
6232.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
6230.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
6227.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
6222.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
6211.2
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
6210.9
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
6200.3
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
6169.6
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
6162.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
6141.2
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
6114.6
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
6101.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
6096.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
6066.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
6051.1
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
6049.7
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
6047.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
5985.0
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
5980.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
5943.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5939.1
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
5937.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5917.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
5901.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
5901.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
5899.9
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
5886.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5881.4
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
5873.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
5843.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
5833.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
5830.9
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
5793.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
5789.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
5762.5
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
5754.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
5744.8
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
5708.8
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
5689.9
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
5680.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
5674.4
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5673.1
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5660.5
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
5653.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
5653.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
5636.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
5620.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
5603.7
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
5600.0
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
5555.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
5543.1
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
5519.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5514.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
5441.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
5437.9
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
5433.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
5429.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
5425.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
5422.2
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
5407.1
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
5390.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5374.8
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5369.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
5366.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
5349.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
5349.3
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
5348.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
5345.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
5345.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
5331.5
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
5330.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5325.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
5318.2
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5314.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
5294.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5281.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
5278.7
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
5260.3
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5256.7
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
5256.5
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
5252.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5250.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
5249.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
5240.8
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
5234.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
5225.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
5222.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
5221.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
5203.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
5194.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
5179.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
5155.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
5150.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
5149.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
5141.7
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
5123.9
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
5122.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
5111.8
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
5095.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
5092.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5063.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
5033.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
5031.4
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5000.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4988.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
4983.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4959.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4958.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
4954.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
4954.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4951.6
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
4940.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
4935.1
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
4925.5
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
4916.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4915.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
4914.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
4914.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
4906.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
4889.2
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
4882.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4876.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4873.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
4867.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4856.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
4851.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
4838.7
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
4827.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
4814.4
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4787.2
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
4775.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
4773.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
4766.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4761.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
4749.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
4747.6
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
4738.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4730.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
4728.0
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4723.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4682.5
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4671.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
4653.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4619.4
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4618.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
4601.3
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
4594.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4588.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
4588.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
4573.8
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
4573.5
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4556.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
4555.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4544.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
4534.4
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
4527.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
4525.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
4522.2
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4521.8
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4519.5
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
4515.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4512.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
4506.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4497.8
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
4497.2
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
4462.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4458.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
4447.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
4442.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4434.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4429.8
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
4428.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4422.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4410.7
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4402.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
4391.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
4387.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
4352.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4345.2
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
4338.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
4321.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4309.4
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
4305.0
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
4301.3
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
4297.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
4275.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
4255.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
4226.4
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
4217.9
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4213.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
4207.1
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4203.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4189.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4173.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
4170.1
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4155.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4133.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
4127.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
4122.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
4120.3
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4114.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
4090.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
4086.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
4064.5
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
4030.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4024.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
4019.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
4018.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
4006.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
4001.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3992.6
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3971.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3968.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3964.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3948.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3919.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3914.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3912.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3899.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3899.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
3898.7
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
3888.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3882.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
3871.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3858.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3858.5
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3843.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
3832.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3819.7
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3803.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3781.5
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3778.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
3774.1
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3765.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3755.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3733.7
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3723.7
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
3710.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3706.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3700.0
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
3691.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
3689.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3681.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3663.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3661.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3659.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3642.3
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3623.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3621.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3615.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3613.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3613.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3600.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3591.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3586.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3585.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3570.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3564.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
3562.9
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3559.1
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
3552.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
3551.2
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3540.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3528.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3485.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3481.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3477.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3418.4
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
3392.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
3382.9
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
3365.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3344.1
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
3300.8
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3294.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3291.4
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3281.8
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3275.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3273.5
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3242.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3228.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3199.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3190.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
3189.8
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
3175.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3123.1
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3119.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3106.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3102.7
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
3102.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3059.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
3045.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3044.6
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
3017.7
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
3012.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2995.3
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2992.8
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2921.6
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2894.2
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2841.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2826.2
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2802.2
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2787.7
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2770.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
2769.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2756.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2729.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2714.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2698.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2693.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2639.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2620.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2598.5
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2591.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2538.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2507.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2496.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2480.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2472.0
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2422.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2398.9
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
2398.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
2365.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2364.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2312.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2296.2
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
2294.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2205.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2040.8
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1851.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1797.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1752.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1737.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1710.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
1516.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1281.5
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
933.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FTL 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
6146.2
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
32247.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
19483.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
15664.7
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
13967.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
13420.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
13251.2
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
12028.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
10833.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
10716.9
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
10609.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
10073.1
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
9644.6
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
9634.5
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
8730.3
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
8576.7
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
8567.4
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
8193.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
8064.2
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
8022.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
7964.2
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
7768.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
7680.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
7643.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7610.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
7067.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
7041.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6959.6
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6622.4
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
6527.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
6382.6
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
6284.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
6244.3
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
6213.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
6109.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6056.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6000.8
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
5983.2
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
5965.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
5957.8
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
5944.0
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
5921.3
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
5894.6
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
5841.2
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
5767.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
5762.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
5707.8
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
5359.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
5309.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5264.8
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5117.9
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4937.7
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
4871.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4807.4
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
4739.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
4699.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4676.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4636.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
4614.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
4593.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
4587.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
4579.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4557.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
4389.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
4387.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4365.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4265.7
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
4251.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4244.3
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
4164.1
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
4114.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4077.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
4038.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4026.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3905.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3791.5
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3780.6
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3734.8
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3660.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3623.2
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3461.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3393.6
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3372.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3342.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3329.9
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3267.8
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3216.0
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3082.0
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3024.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3011.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2996.0
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2936.0
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2851.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2812.5
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
2811.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2661.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2568.0
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2540.4
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2500.0
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2342.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FTL 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
8629.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
51438.1
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
47305.5
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
39008.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
38713.1
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
36256.8
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
36067.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
33550.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
32225.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
30983.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
30681.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
29885.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
29779.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
29410.1
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
29221.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
28747.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
28125.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
23507.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
22829.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
22805.7
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
22327.5
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
22326.5
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
21836.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
20905.4
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
20841.3
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
20831.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
20130.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
19425.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
19422.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
19052.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
18436.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
18083.5
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
17891.0
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
17228.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
17226.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
17045.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
16963.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
16105.2
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
15950.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
15702.8
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
15522.0
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
15396.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
15252.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
15072.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
14984.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
14804.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
14658.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
14566.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
14512.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
14459.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
14367.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
14212.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
14075.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
13963.2
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
13953.5
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
13901.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
13858.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
13782.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
13613.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
13452.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
13370.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
13287.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
13123.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
12967.1
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
12873.9
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
12717.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
12525.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
12496.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
11993.6
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
11908.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
11675.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
11620.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
11546.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
11438.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
11374.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
11254.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
10934.9
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
10813.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
10555.1
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
10466.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
10210.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
10167.0
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
10065.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
9949.7
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
9813.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
9732.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
9709.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
9457.5
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
9434.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
9395.6
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
9259.3
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
8842.1
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
8817.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
8794.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
8780.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
8775.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
8739.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
8721.5
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
8435.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
8362.4
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
8360.7
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
8358.5
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
8305.7
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
8243.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
8200.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
8088.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
7938.3
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
7747.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
7741.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
7736.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
7710.2
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
7632.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
7581.8
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
7484.1
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
7478.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
7314.7
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
7228.1
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
7107.4
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
7039.2
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
6933.4
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
6906.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
6871.6
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
6809.6
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
6784.8
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
6758.9
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
6682.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
6594.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
6500.7
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
6486.8
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
6436.3
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
6435.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
6376.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
6371.7
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
6359.5
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
6272.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6063.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
6032.5
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
5937.0
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
5780.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5760.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
5755.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
5740.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
5723.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5594.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
5562.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
5393.2
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
5280.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
5262.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
5190.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
5143.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5139.2
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5105.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
5078.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
4960.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
4952.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
4850.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
4842.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
4839.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
4719.4
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4701.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4675.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
4651.3
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4585.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
4577.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4560.9
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
4559.8
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
4466.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
4439.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
4406.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
4401.6
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
4392.1
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
4380.7
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
4361.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
4256.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
4240.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
4196.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
4118.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
4074.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
4025.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3940.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3918.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3873.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3843.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3739.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3715.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
3683.4
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3598.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3591.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
3519.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
3480.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3466.8
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
3433.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
3420.9
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
3419.7
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3375.4
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3338.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
3319.2
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3313.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3310.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
3306.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3298.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3286.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
3260.1
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
3251.1
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3216.7
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3203.3
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3152.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3109.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3109.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3084.4
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
3084.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
3048.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
3037.8
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2907.7
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2881.5
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
2877.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2874.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
2872.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2856.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2813.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2808.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2800.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2798.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
2749.2
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2676.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2657.3
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2653.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2631.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2612.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2611.8
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2569.8
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2494.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2466.4
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2456.2
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2419.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2348.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
2270.2
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2231.0
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2196.9
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2111.7
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2109.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
2098.2
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2077.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
2049.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2046.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2042.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
2002.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
1925.3
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
1920.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1898.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1874.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1868.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1864.0
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1856.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1797.0
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1745.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1744.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1724.6
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1717.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1703.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1693.1
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1612.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1588.7
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1584.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1579.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1478.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1467.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1457.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1454.8
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1442.5
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1376.2
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1184.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1152.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1143.4
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1089.1
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1015.6
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
964.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
964.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
923.1
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
902.0
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
864.3
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
803.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
571.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0014160003
Tumor
3.9
CPT0064370003
Tumor
3.3
CPT0078510003
Tumor
3.3
CPT0092730003
Tumor
2.9
CPT0023690003
Tumor
2.8
CPT0025290003
Tumor
2.8
CPT0007860003
Tumor
2.5
CPT0065690003
Tumor
2.5
CPT0020120003
Tumor
2.4
CPT0089460004
Tumor
2.2
CPT0065750003
Tumor
2.2
CPT0092790003
Tumor
2.1
CPT0092290003
Tumor
2.0
CPT0001500009
Tumor
1.9
CPT0065930003
Tumor
1.8
CPT0063320003
Tumor
1.8
CPT0077310003
Tumor
1.7
CPT0086030003
Tumor
1.7
CPT0019990003
Tumor
1.6
CPT0089020003
Tumor
1.4
CPT0066470004
Tumor
1.4
CPT0063630003
Tumor
1.3
CPT0075560003
Tumor
1.2
CPT0078930003
Tumor
1.0
CPT0006900003
Tumor
1.0
CPT0066480003
Tumor
0.8
CPT0081880003
Tumor
0.8
CPT0079380003
Tumor
0.7
CPT0012670003
Tumor
0.6
CPT0025050003
Tumor
0.6
CPT0065810003
Tumor
0.6
CPT0079180003
Tumor
0.5
CPT0076330003
Tumor
0.4
CPT0087040003
Tumor
0.3
CPT0000780007
Tumor
0.3
CPT0021240003
Tumor
0.2
CPT0006630003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0012900004
Tumor
-0.1
CPT0017410003
Tumor
-0.1
CPT0015730003
Tumor
-0.1
CPT0069160003
Tumor
-0.2
CPT0088550004
Tumor
-0.2
CPT0001220008
Tumor
-0.2
CPT0012550003
Tumor
-0.3
CPT0092310003
Normal
-0.3
CPT0092160003
Tumor
-0.5
CPT0015910003
Tumor
-0.5
CPT0025060001
Normal
-0.6
CPT0071150004
Tumor
-0.6
CPT0064400001
Normal
-0.7
CPT0088760003
Tumor
-0.8
CPT0010160003
Tumor
-0.8
CPT0078660003
Tumor
-0.8
CPT0081990003
Tumor
-0.9
CPT0025110003
Tumor
-0.9
CPT0014130001
Normal
-0.9
CPT0023350003
Tumor
-0.9
CPT0092740003
Normal
-0.9
CPT0001230001
Normal
-0.9
CPT0092800003
Normal
-1.0
CPT0069190001
Normal
-1.0
CPT0086950003
Tumor
-1.0
CPT0065450001
Normal
-1.0
CPT0025880003
Tumor
-1.0
CPT0023710001
Normal
-1.0
CPT0006730001
Normal
-1.1
CPT0086970003
Normal
-1.1
CPT0025920001
Normal
-1.1
CPT0025350003
Tumor
-1.1
CPT0078530001
Normal
-1.1
CPT0025230003
Tumor
-1.2
CPT0015810003
Tumor
-1.3
CPT0086370003
Normal
-1.3
CPT0076350001
Normal
-1.3
CPT0088500001
Normal
-1.3
CPT0079410003
Tumor
-1.3
CPT0075130003
Tumor
-1.4
CPT0026420001
Normal
-1.4
CPT0011410003
Tumor
-1.4
CPT0002350011
Tumor
-1.4
CPT0009000003
Tumor
-1.4
CPT0077140001
Normal
-1.4
CPT0065820001
Normal
-1.4
CPT0078800003
Tumor
-1.5
CPT0065430003
Tumor
-1.5
CPT0077490003
Tumor
-1.5
CPT0020020001
Normal
-1.5
CPT0079480003
Tumor
-1.6
CPT0088900003
Tumor
-1.6
CPT0010170001
Normal
-1.6
CPT0007870001
Normal
-1.6
CPT0001510001
Normal
-1.6
CPT0089040001
Normal
-1.6
CPT0078940001
Normal
-1.6
CPT0079510001
Normal
-1.6
CPT0020130001
Normal
-1.7
CPT0078670001
Normal
-1.7
CPT0087050003
Normal
-1.7
CPT0001260009
Tumor
-1.7
CPT0075720003
Tumor
-1.7
CPT0006440003
Tumor
-1.7
CPT0077110003
Tumor
-1.7
CPT0019130003
Tumor
-1.7
CPT0000790001
Normal
-1.7
CPT0092190003
Normal
-1.8
CPT0001270001
Normal
-1.8
CPT0088630003
Tumor
-1.8
CPT0088780001
Normal
-1.8
CPT0088480003
Tumor
-1.8
CPT0085670003
Tumor
-1.8
CPT0014470001
Normal
-1.9
CPT0078840001
Normal
-1.9
CPT0012280003
Tumor
-1.9
CPT0077500001
Normal
-1.9
CPT0001540009
Tumor
-1.9
CPT0000640003
Tumor
-1.9
CPT0009080003
Normal
-1.9
CPT0089480003
Normal
-1.9
CPT0079230003
Tumor
-1.9
CPT0066520001
Normal
-2.0
CPT0088920001
Normal
-2.0
CPT0001550001
Normal
-2.0
CPT0088640003
Normal
-2.0
CPT0009020003
Normal
-2.0
CPT0001190001
Normal
-2.0
CPT0017850003
Tumor
-2.1
CPT0078830003
Tumor
-2.1
CPT0066430001
Normal
-2.1
CPT0012080003
Tumor
-2.1
CPT0086890003
Normal
-2.1
CPT0006950001
Normal
-2.2
CPT0001350001
Normal
-2.2
CPT0012920003
Normal
-2.2
CPT0088570001
Normal
-2.2
CPT0002270011
Tumor
-2.3
CPT0063640001
Normal
-2.3
CPT0007320003
Tumor
-2.3
CPT0079430001
Normal
-2.3
CPT0014450004
Tumor
-2.3
CPT0077320001
Normal
-2.3
CPT0009060003
Tumor
-2.3
CPT0012770003
Normal
-2.3
CPT0086820003
Tumor
-2.3
CPT0001340003
Tumor
-2.3
CPT0075570001
Normal
-2.3
CPT0017450001
Normal
-2.4
CPT0081600003
Tumor
-2.4
CPT0026410003
Tumor
-2.4
CPT0025580004
Tumor
-2.4
CPT0011240003
Tumor
-2.4
CPT0023360001
Normal
-2.4
CPT0002370001
Normal
-2.4
CPT0088970003
Tumor
-2.4
CPT0088710001
Normal
-2.4
CPT0088690003
Tumor
-2.4
CPT0000870016
Tumor
-2.4
CPT0012180003
Tumor
-2.5
CPT0006530001
Normal
-2.5
CPT0012290003
Normal
-2.6
CPT0079300001
Normal
-2.6
CPT0024680001
Normal
-2.7
CPT0063330001
Normal
-2.7
CPT0000660001
Normal
-2.7
CPT0012090003
Normal
-2.7
CPT0079000001
Normal
-2.7
CPT0013790003
Normal
-2.7
CPT0019160001
Normal
-2.7
CPT0079270003
Tumor
-2.8
CPT0012370003
Tumor
-2.8
CPT0082010001
Normal
-2.8
CPT0075170001
Normal
-2.8
CPT0014370004
Tumor
-2.9
CPT0081620001
Normal
-2.9
CPT0018250001
Normal
-2.9
CPT0024670003
Tumor
-3.0
CPT0012640003
Normal
-3.1
CPT0012570003
Normal
-3.1
CPT0078990003
Tumor
-3.1
CPT0001180009
Tumor
-3.1
CPT0010110003
Tumor
-3.2
CPT0069010001
Normal
-3.2
CPT0007470001
Normal
-3.2
CPT0010120001
Normal
-3.3
CPT0014350001
Normal
-3.3
CPT0025610001
Normal
-3.3
CPT0086870003
Tumor
-3.4
CPT0000890001
Normal
-3.6
CPT0084560003
Tumor
-3.8
CPT0084590001
Normal
-4.2
CPT0086830003
Normal
-4.2
CPT0069000003
Tumor
-4.2
CPT0065870003
Tumor
-4.6
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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
