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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.
ENO1 is potential prognostic, high expression is unfavorable 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
538.1
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
2168.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1679.9
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1578.5
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
1442.8
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1150.8
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1040.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
764.0
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
751.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
722.7
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
709.5
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
657.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
646.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
624.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
617.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
612.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
602.2
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
595.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
556.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
547.0
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
543.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
530.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
520.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
509.7
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
502.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
492.5
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
490.0
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
483.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
476.7
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
476.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
465.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
462.2
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
461.0
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
458.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
449.9
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
438.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
432.2
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
426.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
426.4
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
424.0
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
423.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
417.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
404.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
393.1
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
391.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
379.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
374.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
367.8
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
352.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
335.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
322.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
313.9
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
292.3
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
285.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
271.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
268.9
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
265.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
253.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
250.5
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
230.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
201.9
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
195.2
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
175.9
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
172.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ENO1 is potential prognostic, high expression is favorable 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
2340.8
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5086.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
4981.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
4963.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
4918.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4917.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
4888.6
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
4870.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4844.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4787.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
4774.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4753.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4722.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
4671.7
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
4609.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
4443.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4432.0
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4417.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
4415.1
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
4375.3
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
4364.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4346.7
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4329.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
4301.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4292.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4267.9
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4250.9
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4239.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4225.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4214.4
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
4187.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4175.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4171.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4134.6
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4122.7
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
4085.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4039.9
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4034.7
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4020.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
4002.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4001.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3996.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3981.8
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3957.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3957.0
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
3919.5
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
3916.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3904.0
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3880.4
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
3877.0
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3834.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3812.5
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3782.6
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3782.5
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3774.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3773.6
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
3748.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3747.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3724.9
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3716.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3704.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3689.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3685.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3674.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3635.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3632.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3626.0
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3613.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3581.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3580.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
3568.8
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
3567.9
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
3562.0
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3555.5
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3550.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3534.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3509.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3506.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3505.3
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3504.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3502.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3497.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3475.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3472.8
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3455.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
3441.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3434.8
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3428.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
3416.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
3416.2
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
3399.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
3370.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
3358.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3352.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3351.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3314.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3312.4
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3312.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3298.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3280.7
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
3276.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
3260.9
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
3235.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3231.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3220.6
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3213.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3211.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
3211.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3210.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3205.3
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3202.3
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3198.7
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
3192.8
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3178.2
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3172.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
3171.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
3164.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3140.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3124.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3103.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3093.1
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3089.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3076.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
3075.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3068.5
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3067.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3064.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3062.1
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3057.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
3056.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3055.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3054.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3053.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
3052.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3052.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3050.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3045.6
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3045.1
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3043.9
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3040.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3036.1
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3030.0
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3024.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3009.4
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3000.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2991.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2984.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2983.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2982.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2957.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2954.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2934.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2917.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2913.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2899.8
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2885.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2885.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2868.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2867.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2865.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2863.3
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2859.3
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2842.9
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2838.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2834.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2830.7
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2824.6
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2823.6
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2792.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2783.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2775.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2775.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2768.5
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2765.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2764.3
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2761.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2760.2
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
2758.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2755.0
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2748.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2742.2
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2742.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2741.5
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2737.9
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2735.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2728.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2723.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2722.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2719.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2712.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2696.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
2678.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2675.6
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2666.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
2652.6
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2651.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2649.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2648.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2645.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2644.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
2636.1
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2628.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2625.4
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2622.3
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2613.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2597.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2594.5
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2592.2
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2588.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2588.4
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2583.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2581.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2578.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
2573.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2569.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2568.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2559.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2539.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2537.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2522.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2520.1
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2518.8
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2515.3
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2511.6
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2508.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2506.6
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2504.8
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2497.3
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2496.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2495.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
2494.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2483.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2477.9
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2474.1
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2473.7
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2473.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2472.2
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2468.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2467.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
2466.1
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2460.8
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2458.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2458.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2447.6
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2446.7
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2437.8
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2431.0
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2429.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2410.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2397.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2392.5
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2391.9
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2374.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
2372.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2371.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2369.0
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2356.5
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2348.8
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2346.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2325.6
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
2289.9
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2285.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2282.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2275.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2273.8
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2271.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2257.9
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2257.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2256.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
2253.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2249.4
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2245.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2242.9
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2234.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2233.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2228.9
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2218.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2212.7
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2211.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2209.9
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2207.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2205.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
2200.1
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2195.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2193.2
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2192.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2191.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2176.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2175.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2171.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2170.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2169.2
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2168.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2163.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2163.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2159.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2150.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2132.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2129.1
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2118.5
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2116.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2113.7
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2110.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2092.1
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2081.6
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2080.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2079.6
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2077.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2067.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2056.1
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
2054.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2053.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2047.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2044.3
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2036.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
2029.4
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2011.8
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2010.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
2004.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2003.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1999.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1996.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
1994.1
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1962.4
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
1962.1
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
1951.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1946.3
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
1932.2
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1896.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
1893.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1891.5
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
1890.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1886.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1884.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1871.6
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1869.7
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1861.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1859.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1856.7
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
1851.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
1838.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1836.3
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1832.1
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
1827.4
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
1821.5
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
1815.0
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1809.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1798.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
1794.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1789.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
1787.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
1785.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
1779.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
1765.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1749.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1738.8
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1738.3
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1735.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1726.3
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1724.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1721.4
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
1708.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1706.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1704.3
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1694.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1691.0
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1688.4
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1678.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
1677.3
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1650.7
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1646.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
1642.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
1635.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
1622.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1607.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1600.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
1599.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1588.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1588.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1582.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1574.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1570.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1569.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
1563.4
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1560.8
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1559.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1559.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1552.9
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1549.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1547.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1541.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1540.5
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1531.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1526.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1525.9
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1520.1
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1519.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1519.0
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1514.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1510.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1492.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1480.7
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1472.2
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1459.7
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1454.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1450.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1449.4
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1442.7
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
1434.9
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
1433.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1432.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1432.2
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1419.5
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1416.8
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1416.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1400.8
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
1390.9
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1386.9
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1377.1
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
1375.5
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
1370.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1342.6
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1341.9
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1339.3
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
1336.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1325.7
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
1321.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
1320.3
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1317.4
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1312.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1301.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1299.3
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1273.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1271.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
1271.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
1260.9
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
1256.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1248.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1247.2
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1233.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
1210.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1197.9
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1194.8
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
1194.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1193.0
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
1183.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1169.3
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1163.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1147.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1126.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1120.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1108.9
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1108.0
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1094.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1093.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1090.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1083.2
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1072.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1071.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1064.5
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1062.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1060.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1045.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
1041.4
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
1026.5
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1018.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
985.2
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
963.2
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
960.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
956.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
935.5
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
926.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
922.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
884.0
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
880.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
873.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
852.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
826.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
809.6
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
802.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
801.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
793.0
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
789.2
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
748.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
747.3
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
744.1
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
736.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
678.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
672.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
671.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
657.6
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
651.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
646.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
645.0
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
643.0
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
623.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
619.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
606.3
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
604.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
573.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
570.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
561.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
546.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
531.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
509.8
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
484.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
465.8
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
456.8
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
444.1
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
380.5
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
368.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
366.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
361.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
358.3
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
351.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
314.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
262.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
253.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
246.7
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
226.6
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
191.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 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.
ENO1 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
2053.8
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
4350.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4123.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3443.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3395.0
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
3336.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3174.7
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
3141.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3119.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3073.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
3057.3
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
3018.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2958.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2957.3
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2951.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2914.2
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2831.7
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2713.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2663.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2662.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2626.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2577.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2565.5
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2556.4
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2536.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2514.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2482.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
2462.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2462.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2459.0
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2441.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2438.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
2435.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2418.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2414.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2403.6
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2401.9
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2365.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2357.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2353.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2271.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2244.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2229.9
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2082.4
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
2080.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2059.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2034.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2030.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2021.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2013.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2004.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1996.9
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1993.8
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1992.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1984.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
1906.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1848.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1847.1
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
1839.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1799.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1762.9
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1746.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1732.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1728.3
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1673.4
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1667.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1662.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1651.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1643.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1637.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1620.7
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1607.8
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1586.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1578.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1566.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1505.0
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1502.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1479.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1454.4
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1423.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1410.8
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1407.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1396.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1370.0
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1340.9
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1324.2
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1309.5
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
1279.0
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1267.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1253.3
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1224.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1198.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1073.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1023.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1000.1
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1000.0
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
977.0
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
821.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
756.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
744.6
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ENO1 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
1858.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
4971.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
4936.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4037.2
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
4034.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4009.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
3852.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
3820.4
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3715.0
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3625.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
3547.7
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
3467.7
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
3445.8
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3307.3
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3281.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3270.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
3240.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
3234.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
3213.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
3161.3
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3151.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3133.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
3113.3
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
3103.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
3079.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
3038.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
2976.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
2946.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
2929.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
2924.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2876.5
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2846.7
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2829.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2825.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2816.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2805.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
2795.7
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
2791.2
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2791.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2782.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
2708.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2623.1
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2601.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2598.8
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2596.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
2589.9
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
2560.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2548.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2517.1
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2495.7
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
2482.7
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2474.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2449.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2447.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2429.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
2422.0
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2416.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2414.7
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2374.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2360.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
2357.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2330.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2315.1
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2311.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
2310.0
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
2292.0
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2291.7
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2287.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2275.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2273.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
2253.3
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2248.0
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2245.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2238.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2222.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2205.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
2204.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2202.6
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
2198.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2194.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2193.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2190.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2188.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2185.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2184.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2178.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2132.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2130.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2122.1
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2093.6
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2092.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2088.5
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2082.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2070.8
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2066.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2065.9
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2064.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2056.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2052.7
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2040.8
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2029.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2024.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
2021.6
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2020.9
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2019.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1999.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1993.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1978.8
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1944.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1942.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1942.8
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1931.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
1929.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1914.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1902.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1900.5
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1890.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1886.5
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1882.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1875.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1862.3
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1861.7
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1846.5
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1846.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1841.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1833.6
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1825.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1819.0
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1809.1
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1805.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1802.2
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1797.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1787.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
1783.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1783.4
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1779.4
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
1779.4
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1774.5
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1763.1
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1756.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1754.8
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1753.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1747.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1743.1
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1734.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
1724.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1717.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1712.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1708.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1706.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1705.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1704.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1698.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1692.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1689.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1687.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1684.8
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1668.8
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1663.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1663.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1658.2
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1657.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1656.0
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1644.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
1633.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1629.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1615.2
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1614.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1585.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1579.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1578.7
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1571.8
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1565.0
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1563.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1561.8
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1557.8
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1540.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1531.5
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1528.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1527.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
1519.6
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1516.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1511.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1510.3
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1507.5
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1506.5
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1504.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1497.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1494.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1484.8
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
1484.0
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1483.2
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1477.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1462.4
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1459.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1452.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1451.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1439.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1436.1
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1435.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1434.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1431.1
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1427.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1423.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1417.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1415.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1397.9
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1393.7
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1392.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1381.0
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1379.1
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1369.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1360.8
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1353.2
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1344.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1334.0
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1328.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1326.4
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1316.3
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1308.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1306.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1282.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1246.1
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1245.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1241.6
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1233.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1226.5
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1213.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
1208.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1208.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1207.5
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1195.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1192.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1191.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1186.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1186.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1186.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1171.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1168.9
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1140.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1134.0
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1124.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1113.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1092.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1077.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
1059.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1046.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1025.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1022.9
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
1021.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1015.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
960.8
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
940.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
928.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
927.3
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
921.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
916.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
897.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
858.5
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
853.0
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
849.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
833.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
824.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
803.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
796.9
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
795.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
777.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
770.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
768.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
750.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
700.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
678.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
669.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
649.4
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
633.2
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
621.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
576.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
574.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
545.0
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
542.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
388.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
340.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
339.7
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0009000003
Tumor
1.2
CPT0025110003
Tumor
1.2
CPT0071150004
Tumor
1.0
CPT0079270003
Tumor
0.9
CPT0006440003
Tumor
0.9
CPT0065930003
Tumor
0.9
CPT0010160003
Tumor
0.9
CPT0006630003
Tumor
0.9
CPT0000640003
Tumor
0.9
CPT0012900004
Tumor
0.8
CPT0086030003
Tumor
0.8
CPT0089460004
Tumor
0.8
CPT0078930003
Tumor
0.8
CPT0012370003
Tumor
0.7
CPT0000780007
Tumor
0.7
CPT0079480003
Tumor
0.7
CPT0088900003
Tumor
0.7
CPT0025880003
Tumor
0.7
CPT0025050003
Tumor
0.7
CPT0006900003
Tumor
0.7
CPT0087040003
Tumor
0.7
CPT0021240003
Tumor
0.6
CPT0063320003
Tumor
0.6
CPT0077110003
Tumor
0.6
CPT0077310003
Tumor
0.6
CPT0014370004
Tumor
0.6
CPT0069000003
Tumor
0.6
CPT0012080003
Tumor
0.6
CPT0078830003
Tumor
0.6
CPT0000870016
Tumor
0.6
CPT0088760003
Tumor
0.6
CPT0019990003
Tumor
0.6
CPT0007860003
Tumor
0.6
CPT0025290003
Tumor
0.6
CPT0024670003
Tumor
0.6
CPT0025580004
Tumor
0.5
CPT0001500009
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0025230003
Tumor
0.5
CPT0065810003
Tumor
0.5
CPT0077490003
Tumor
0.5
CPT0023690003
Tumor
0.5
CPT0025350003
Tumor
0.5
CPT0066470004
Tumor
0.4
CPT0011240003
Tumor
0.4
CPT0019130003
Tumor
0.4
CPT0001540009
Tumor
0.4
CPT0014160003
Tumor
0.4
CPT0092790003
Tumor
0.4
CPT0064370003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0069160003
Tumor
0.4
CPT0079230003
Tumor
0.4
CPT0081990003
Tumor
0.3
CPT0089020003
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0001260009
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0017410003
Tumor
0.3
CPT0012550003
Tumor
0.3
CPT0065750003
Tumor
0.3
CPT0088480003
Tumor
0.2
CPT0001340003
Tumor
0.2
CPT0092730003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0066480003
Tumor
0.2
CPT0076330003
Tumor
0.2
CPT0065690003
Tumor
0.2
CPT0002350011
Tumor
0.2
CPT0063630003
Tumor
0.2
CPT0079380003
Tumor
0.1
CPT0092160003
Tumor
0.1
CPT0088690003
Tumor
0.1
CPT0075130003
Tumor
0.1
CPT0078990003
Tumor
0.1
CPT0086820003
Tumor
0.1
CPT0086950003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0078510003
Tumor
0.1
CPT0012280003
Tumor
0.0
CPT0014450004
Tumor
0.0
CPT0081880003
Tumor
0.0
CPT0086360003
Tumor
-0.1
CPT0012670003
Tumor
-0.1
CPT0015910003
Tumor
-0.1
CPT0088630003
Tumor
-0.1
CPT0075560003
Tumor
-0.1
CPT0079510001
Normal
-0.1
CPT0085670003
Tumor
-0.1
CPT0002270011
Tumor
-0.1
CPT0015730003
Tumor
-0.2
CPT0065870003
Tumor
-0.2
CPT0020120003
Tumor
-0.2
CPT0011410003
Tumor
-0.2
CPT0077500001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0002370001
Normal
-0.3
CPT0079410003
Tumor
-0.3
CPT0025920001
Normal
-0.3
CPT0001230001
Normal
-0.3
CPT0012090003
Normal
-0.3
CPT0023710001
Normal
-0.3
CPT0009020003
Normal
-0.3
CPT0069010001
Normal
-0.3
CPT0078670001
Normal
-0.3
CPT0078840001
Normal
-0.3
CPT0018250001
Normal
-0.3
CPT0007470001
Normal
-0.3
CPT0084560003
Tumor
-0.3
CPT0001510001
Normal
-0.4
CPT0001550001
Normal
-0.4
CPT0020020001
Normal
-0.4
CPT0012570003
Normal
-0.4
CPT0088920001
Normal
-0.4
CPT0063330001
Normal
-0.4
CPT0012770003
Normal
-0.4
CPT0076350001
Normal
-0.4
CPT0026420001
Normal
-0.4
CPT0023350003
Tumor
-0.4
CPT0088640003
Normal
-0.4
CPT0069190001
Normal
-0.4
CPT0078940001
Normal
-0.4
CPT0019160001
Normal
-0.4
CPT0010170001
Normal
-0.4
CPT0079300001
Normal
-0.4
CPT0078800003
Tumor
-0.4
CPT0023360001
Normal
-0.4
CPT0092310003
Normal
-0.4
CPT0065450001
Normal
-0.4
CPT0025610001
Normal
-0.4
CPT0089480003
Normal
-0.4
CPT0077140001
Normal
-0.4
CPT0088780001
Normal
-0.4
CPT0009080003
Normal
-0.4
CPT0089040001
Normal
-0.4
CPT0075570001
Normal
-0.5
CPT0001350001
Normal
-0.5
CPT0082010001
Normal
-0.5
CPT0086890003
Normal
-0.5
CPT0086830003
Normal
-0.5
CPT0000790001
Normal
-0.5
CPT0088500001
Normal
-0.5
CPT0013790003
Normal
-0.5
CPT0006950001
Normal
-0.5
CPT0081620001
Normal
-0.5
CPT0020130001
Normal
-0.5
CPT0000890001
Normal
-0.5
CPT0092740003
Normal
-0.5
CPT0025060001
Normal
-0.5
CPT0087050003
Normal
-0.5
CPT0088710001
Normal
-0.5
CPT0086970003
Normal
-0.5
CPT0063640001
Normal
-0.5
CPT0006530001
Normal
-0.5
CPT0086870003
Tumor
-0.5
CPT0000660001
Normal
-0.5
CPT0066430001
Normal
-0.5
CPT0079000001
Normal
-0.5
CPT0006730001
Normal
-0.5
CPT0024680001
Normal
-0.5
CPT0017450001
Normal
-0.5
CPT0081600003
Tumor
-0.5
CPT0066520001
Normal
-0.5
CPT0086370003
Normal
-0.5
CPT0007320003
Tumor
-0.5
CPT0092800003
Normal
-0.5
CPT0064400001
Normal
-0.6
CPT0014130001
Normal
-0.6
CPT0012640003
Normal
-0.6
CPT0012290003
Normal
-0.6
CPT0010110003
Tumor
-0.6
CPT0012180003
Tumor
-0.6
CPT0088570001
Normal
-0.7
CPT0007870001
Normal
-0.7
CPT0012920003
Normal
-0.7
CPT0077320001
Normal
-0.7
CPT0078530001
Normal
-0.7
CPT0001190001
Normal
-0.7
CPT0001270001
Normal
-0.7
CPT0084590001
Normal
-0.7
CPT0017850003
Tumor
-0.7
CPT0014470001
Normal
-0.7
CPT0079430001
Normal
-0.8
CPT0092190003
Normal
-0.8
CPT0075170001
Normal
-0.8
CPT0065820001
Normal
-0.8
CPT0088970003
Tumor
-0.8
CPT0009060003
Tumor
-0.8
CPT0010120001
Normal
-0.9
CPT0079180003
Tumor
-1.0
CPT0088550004
Tumor
-1.1
CPT0078660003
Tumor
-1.3
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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
