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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.
CTSB 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
217.7
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1131.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
889.5
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
640.5
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
605.5
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
574.5
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
475.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
454.2
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
366.3
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
353.6
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
349.7
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
342.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
342.7
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
336.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
333.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
327.0
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
324.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
316.7
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
299.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
298.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
268.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
260.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
208.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
200.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
197.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
195.1
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
177.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
174.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
173.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
172.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
171.7
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
161.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
159.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
155.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
152.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
147.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
143.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
135.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
134.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
128.2
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
127.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
113.7
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
110.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
105.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
101.7
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
88.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
86.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
85.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
82.7
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
81.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
80.5
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
78.6
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
63.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
61.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
60.1
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
56.1
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
50.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
50.0
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
36.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
35.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
33.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
26.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
25.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
12.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 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.
CTSB 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
314.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1960.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1770.2
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1360.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1353.2
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1321.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1167.8
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1045.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1016.1
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
999.2
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
917.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
902.6
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
894.4
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
845.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
833.7
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
825.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
792.2
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
781.7
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
764.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
750.7
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
748.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
738.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
733.5
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
724.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
718.2
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
716.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
704.5
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
696.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
681.2
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
675.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
670.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
653.8
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
652.0
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
649.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
646.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
643.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
635.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
635.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
625.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
619.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
613.6
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
610.0
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
604.5
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
600.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
584.8
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
582.8
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
582.5
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
581.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
581.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
575.6
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
572.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
570.0
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
569.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
568.3
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
568.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
566.1
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
562.3
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
562.2
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
551.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
545.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
544.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
543.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
538.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
536.9
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
534.8
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
533.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
531.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
529.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
529.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
527.1
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
523.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
522.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
521.1
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
517.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
516.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
513.4
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
511.3
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
510.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
505.8
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
502.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
500.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
499.8
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
498.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
496.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
492.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
490.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
489.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
487.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
483.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
482.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
478.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
478.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
477.4
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
474.4
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
471.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
461.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
460.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
459.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
457.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
456.4
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
455.5
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
454.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
451.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
450.7
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
450.2
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
449.6
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
447.8
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
447.7
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
447.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
447.0
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
445.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
442.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
441.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
439.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
438.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
437.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
435.9
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
435.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
432.6
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
430.8
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
430.3
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
426.8
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
426.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
423.8
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
423.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
423.3
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
417.2
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
414.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
411.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
408.7
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
408.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
404.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
404.0
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
402.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
400.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
399.6
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
399.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
397.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
397.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
395.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
394.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
394.0
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
392.8
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
392.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
391.1
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
390.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
390.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
390.0
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
389.6
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
385.3
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
384.6
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
383.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
383.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
382.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
380.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
380.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
379.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
377.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
377.2
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
375.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
374.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
371.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
368.5
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
367.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
365.6
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
364.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
363.3
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
361.4
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
361.2
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
360.7
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
360.1
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
358.8
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
358.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
357.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
356.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
355.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
355.2
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
355.2
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
353.7
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
351.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
350.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
350.4
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
349.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
349.2
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
348.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
347.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
347.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
346.2
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
345.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
342.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
341.3
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
338.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
337.9
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
335.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
334.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
333.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
333.2
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
331.9
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
331.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
331.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
330.7
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
330.5
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
328.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
328.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
328.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
327.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
326.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
326.6
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
325.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
325.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
324.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
324.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
324.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
324.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
324.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
323.9
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
323.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
322.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
322.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
321.1
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
321.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
318.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
318.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
318.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
318.1
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
317.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
313.9
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
312.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
311.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
310.5
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
309.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
308.4
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
308.1
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
307.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
307.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
306.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
306.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
304.3
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
303.3
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
302.4
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
301.2
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
300.8
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
300.1
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
299.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
299.1
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
298.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
297.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
297.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
296.8
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
296.7
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
295.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
294.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
294.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
293.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
290.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
289.6
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
289.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
289.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
288.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
284.1
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
284.0
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
282.8
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
282.7
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
282.3
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
280.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
280.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
278.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
278.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
277.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
276.8
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
276.6
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
275.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
275.4
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
275.0
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
274.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
274.4
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
273.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
272.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
270.2
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
269.9
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
266.9
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
266.0
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
264.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
263.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
262.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
262.2
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
259.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
259.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
258.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
257.1
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
256.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
254.7
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
253.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
252.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
248.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
248.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
247.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
247.0
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
246.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
245.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
243.2
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
240.3
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
239.2
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
238.8
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
238.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
237.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
237.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
236.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
233.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
232.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
231.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
230.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
229.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
229.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
229.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
228.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
226.6
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
225.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
224.6
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
224.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
222.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
222.8
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
222.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
222.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
221.6
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
221.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
220.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
220.8
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
218.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
217.7
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
217.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
217.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
215.5
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
214.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
214.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
212.5
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
210.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
210.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
210.5
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
208.8
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
207.5
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
207.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
206.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
205.7
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
204.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
203.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
202.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
199.9
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
197.3
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
196.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
196.1
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
194.4
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
193.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
192.4
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
191.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
189.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
188.6
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
185.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
185.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
184.3
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
184.2
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
183.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
183.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
182.8
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
182.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
182.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
181.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
181.5
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
180.0
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
179.6
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
178.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
178.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
177.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
176.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
176.4
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
175.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
174.8
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
174.4
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
174.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
172.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
171.4
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
168.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
168.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
166.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
165.6
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
165.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
163.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
161.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
161.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
161.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
160.6
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
155.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
154.6
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
154.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
153.3
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
152.8
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
150.3
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
149.9
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
149.0
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
148.4
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
148.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
148.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
146.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
141.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
141.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
139.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
138.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
138.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
136.6
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
136.1
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
135.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
135.5
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
134.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
133.2
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
133.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
133.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
129.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
129.4
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
126.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
126.2
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
125.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
123.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
121.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
120.1
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
119.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
118.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
118.4
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
118.0
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
117.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
117.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
116.3
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
114.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
114.0
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
114.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
113.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
112.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
112.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
110.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
109.7
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
106.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
106.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
105.0
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
104.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
104.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
103.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
102.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
102.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
102.0
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
101.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
101.1
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
101.0
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
100.1
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
100.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
99.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
99.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
97.9
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
95.4
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
95.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
94.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
93.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
89.7
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
85.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
84.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
83.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
82.6
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
81.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
80.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
76.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
74.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
73.8
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
73.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
72.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
71.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
71.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
71.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
70.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
70.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
68.8
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
68.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
68.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
66.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
65.6
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
62.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
62.2
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
62.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
60.2
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
59.2
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
58.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
56.3
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
54.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
50.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
50.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
50.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
47.8
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
47.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
47.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
47.2
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
46.4
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
44.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
44.6
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
44.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
44.4
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
44.3
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
42.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
39.2
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
37.3
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
34.8
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
33.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
31.7
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
28.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
28.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
27.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
25.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
20.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
19.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
19.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
18.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
13.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
12.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
11.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
6.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 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.
CTSB 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
579.4
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2144.3
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2002.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
1616.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1546.7
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1440.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1220.5
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1171.3
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1109.2
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1030.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
987.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
917.8
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
883.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
872.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
853.0
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
824.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
817.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
799.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
793.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
782.5
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
760.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
753.2
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
740.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
739.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
729.9
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
729.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
722.0
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
720.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
708.0
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
696.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
682.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
670.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
665.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
648.8
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
646.2
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
643.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
629.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
626.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
624.4
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
616.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
616.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
582.9
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
579.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
569.3
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
563.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
562.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
540.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
532.8
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
528.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
513.2
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
511.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
506.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
497.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
495.1
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
493.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
476.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
465.8
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
449.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
430.7
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
426.7
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
420.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
417.1
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
400.5
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
399.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
389.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
384.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
380.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
376.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
374.4
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
374.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
364.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
360.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
359.4
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
356.1
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
353.0
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
348.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
329.1
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
315.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
313.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
313.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
309.1
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
308.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
307.7
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
284.2
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
279.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
267.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
262.9
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
261.2
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
247.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
236.4
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
231.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
212.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
212.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
208.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
196.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
193.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
180.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
173.5
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
160.9
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
104.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 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.
CTSB 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
415.4
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
3151.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
3093.2
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
3088.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2798.2
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2378.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2202.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
2158.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1702.9
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1652.1
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1486.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1394.5
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1389.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1291.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1272.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1236.0
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1108.4
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1081.7
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1075.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1036.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1025.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
985.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
891.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
885.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
859.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
849.9
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
842.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
842.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
839.3
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
831.4
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
792.6
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
770.6
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
759.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
755.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
752.2
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
748.2
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
747.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
740.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
734.4
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
730.3
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
730.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
707.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
698.0
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
680.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
660.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
660.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
657.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
657.1
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
650.9
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
650.9
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
646.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
646.4
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
639.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
617.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
606.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
605.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
584.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
570.2
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
569.4
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
569.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
565.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
563.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
550.7
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
544.4
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
534.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
522.3
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
521.3
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
517.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
497.7
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
495.9
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
491.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
489.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
485.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
479.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
469.4
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
468.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
466.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
464.6
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
464.2
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
463.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
461.9
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
461.7
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
460.4
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
456.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
451.7
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
441.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
434.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
428.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
428.0
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
427.7
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
427.3
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
419.8
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
409.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
402.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
399.0
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
396.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
390.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
382.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
382.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
380.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
378.6
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
371.6
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
370.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
369.7
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
368.6
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
365.1
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
354.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
354.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
354.0
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
353.5
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
352.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
347.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
346.3
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
344.3
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
341.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
340.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
338.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
337.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
335.9
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
334.7
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
333.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
333.1
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
331.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
331.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
328.5
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
327.0
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
325.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
321.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
319.5
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
317.4
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
314.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
313.7
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
311.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
309.9
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
307.3
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
306.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
302.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
301.9
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
301.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
299.7
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
299.5
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
299.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
293.0
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
290.5
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
283.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
281.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
279.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
277.0
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
276.5
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
276.0
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
275.3
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
274.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
273.0
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
271.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
270.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
263.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
263.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
260.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
259.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
257.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
256.9
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
255.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
252.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
251.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
245.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
244.0
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
242.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
236.5
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
233.2
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
232.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
224.5
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
223.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
219.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
218.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
214.8
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
214.3
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
212.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
211.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
210.3
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
207.3
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
207.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
205.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
203.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
202.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
188.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
187.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
183.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
182.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
181.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
179.9
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
176.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
176.1
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
175.7
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
174.7
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
174.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
174.2
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
173.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
173.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
173.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
172.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
168.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
166.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
166.2
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
165.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
165.6
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
162.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
162.3
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
161.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
159.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
159.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
158.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
158.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
155.7
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
152.5
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
148.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
142.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
140.1
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
139.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
139.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
134.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
133.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
132.1
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
130.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
128.0
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
127.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
127.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
119.0
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
118.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
117.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
115.0
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
112.6
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
112.6
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
111.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
110.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
108.3
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
107.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
102.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
101.3
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
98.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
98.0
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
97.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
96.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
89.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
89.5
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
88.9
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
85.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
84.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
82.2
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
81.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
80.0
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
77.1
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
71.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
70.2
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
69.8
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
67.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
64.7
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
63.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
59.7
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
55.7
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
55.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
54.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
50.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
50.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
50.3
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
42.0
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
41.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
41.2
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
37.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
36.0
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
36.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
35.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
35.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
35.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
33.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
31.4
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
26.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
16.8
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
14.7
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
12.6
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
12.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
11.2
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
6.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
6.4
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
1.7
CPT0001340003
Tumor
1.3
CPT0078800003
Tumor
1.2
CPT0086950003
Tumor
1.1
CPT0026420001
Normal
1.0
CPT0012900004
Tumor
0.9
CPT0017850003
Tumor
0.7
CPT0002270011
Tumor
0.7
CPT0084560003
Tumor
0.7
CPT0077500001
Normal
0.7
CPT0082010001
Normal
0.7
CPT0078840001
Normal
0.7
CPT0075570001
Normal
0.6
CPT0006730001
Normal
0.6
CPT0009080003
Normal
0.6
CPT0012090003
Normal
0.6
CPT0084590001
Normal
0.5
CPT0088920001
Normal
0.5
CPT0065820001
Normal
0.5
CPT0086970003
Normal
0.5
CPT0018250001
Normal
0.4
CPT0076330003
Tumor
0.4
CPT0065750003
Tumor
0.4
CPT0025060001
Normal
0.4
CPT0012770003
Normal
0.4
CPT0001270001
Normal
0.4
CPT0089040001
Normal
0.4
CPT0007470001
Normal
0.4
CPT0063630003
Tumor
0.4
CPT0006950001
Normal
0.4
CPT0024680001
Normal
0.4
CPT0064370003
Tumor
0.3
CPT0078940001
Normal
0.3
CPT0000890001
Normal
0.3
CPT0081620001
Normal
0.3
CPT0078670001
Normal
0.3
CPT0089480003
Normal
0.3
CPT0087050003
Normal
0.3
CPT0063640001
Normal
0.3
CPT0014160003
Tumor
0.3
CPT0017410003
Tumor
0.3
CPT0000660001
Normal
0.3
CPT0075170001
Normal
0.3
CPT0078530001
Normal
0.2
CPT0000790001
Normal
0.2
CPT0075560003
Tumor
0.2
CPT0019130003
Tumor
0.2
CPT0092310003
Normal
0.2
CPT0092800003
Normal
0.2
CPT0065430003
Tumor
0.2
CPT0014350001
Normal
0.2
CPT0007860003
Tumor
0.2
CPT0006530001
Normal
0.2
CPT0079000001
Normal
0.2
CPT0012920003
Normal
0.2
CPT0001190001
Normal
0.2
CPT0086370003
Normal
0.2
CPT0088480003
Tumor
0.2
CPT0065450001
Normal
0.2
CPT0077140001
Normal
0.2
CPT0010170001
Normal
0.2
CPT0020020001
Normal
0.2
CPT0014470001
Normal
0.2
CPT0066520001
Normal
0.2
CPT0023350003
Tumor
0.2
CPT0017450001
Normal
0.1
CPT0076350001
Normal
0.1
CPT0025610001
Normal
0.1
CPT0088570001
Normal
0.1
CPT0007870001
Normal
0.1
CPT0007320003
Tumor
0.1
CPT0013790003
Normal
0.1
CPT0069010001
Normal
0.1
CPT0088640003
Normal
0.1
CPT0010120001
Normal
0.1
CPT0079430001
Normal
0.0
CPT0088710001
Normal
0.0
CPT0064400001
Normal
0.0
CPT0012570003
Normal
0.0
CPT0066480003
Tumor
0.0
CPT0001220008
Tumor
0.0
CPT0092730003
Tumor
0.0
CPT0024670003
Tumor
0.0
CPT0066430001
Normal
0.0
CPT0077310003
Tumor
0.0
CPT0020130001
Normal
0.0
CPT0078510003
Tumor
0.0
CPT0023710001
Normal
0.0
CPT0012290003
Normal
0.0
CPT0092740003
Normal
0.0
CPT0087040003
Tumor
0.0
CPT0077320001
Normal
0.0
CPT0019990003
Tumor
0.0
CPT0014130001
Normal
-0.1
CPT0063320003
Tumor
-0.1
CPT0088970003
Tumor
-0.1
CPT0019160001
Normal
-0.1
CPT0002370001
Normal
-0.1
CPT0069160003
Tumor
-0.1
CPT0079410003
Tumor
-0.1
CPT0001510001
Normal
-0.1
CPT0079180003
Tumor
-0.1
CPT0088780001
Normal
-0.1
CPT0012550003
Tumor
-0.1
CPT0001500009
Tumor
-0.1
CPT0023360001
Normal
-0.1
CPT0092290003
Tumor
-0.1
CPT0081990003
Tumor
-0.1
CPT0006900003
Tumor
-0.1
CPT0088500001
Normal
-0.1
CPT0001350001
Normal
-0.2
CPT0086890003
Normal
-0.2
CPT0025050003
Tumor
-0.2
CPT0065930003
Tumor
-0.2
CPT0086830003
Normal
-0.2
CPT0014450004
Tumor
-0.2
CPT0089020003
Tumor
-0.2
CPT0012180003
Tumor
-0.2
CPT0063330001
Normal
-0.2
CPT0020120003
Tumor
-0.2
CPT0023690003
Tumor
-0.2
CPT0009060003
Tumor
-0.2
CPT0000640003
Tumor
-0.3
CPT0065690003
Tumor
-0.3
CPT0066470004
Tumor
-0.3
CPT0015810003
Tumor
-0.3
CPT0079480003
Tumor
-0.3
CPT0009020003
Normal
-0.3
CPT0092190003
Normal
-0.3
CPT0089460004
Tumor
-0.3
CPT0065810003
Tumor
-0.3
CPT0025290003
Tumor
-0.3
CPT0086030003
Tumor
-0.3
CPT0001230001
Normal
-0.3
CPT0025920001
Normal
-0.3
CPT0081880003
Tumor
-0.4
CPT0021240003
Tumor
-0.4
CPT0009000003
Tumor
-0.4
CPT0011240003
Tumor
-0.4
CPT0069190001
Normal
-0.4
CPT0078830003
Tumor
-0.4
CPT0078930003
Tumor
-0.4
CPT0077110003
Tumor
-0.4
CPT0079510001
Normal
-0.4
CPT0012670003
Tumor
-0.4
CPT0079230003
Tumor
-0.4
CPT0071150004
Tumor
-0.4
CPT0012640003
Normal
-0.4
CPT0012280003
Tumor
-0.4
CPT0086360003
Tumor
-0.4
CPT0092790003
Tumor
-0.4
CPT0006630003
Tumor
-0.4
CPT0025580004
Tumor
-0.4
CPT0001260009
Tumor
-0.4
CPT0015910003
Tumor
-0.5
CPT0088690003
Tumor
-0.5
CPT0010160003
Tumor
-0.5
CPT0086820003
Tumor
-0.5
CPT0092160003
Tumor
-0.5
CPT0088760003
Tumor
-0.5
CPT0078990003
Tumor
-0.5
CPT0002350011
Tumor
-0.5
CPT0001550001
Normal
-0.5
CPT0025230003
Tumor
-0.5
CPT0010110003
Tumor
-0.5
CPT0077490003
Tumor
-0.5
CPT0079300001
Normal
-0.6
CPT0012080003
Tumor
-0.6
CPT0079270003
Tumor
-0.6
CPT0075130003
Tumor
-0.6
CPT0079380003
Tumor
-0.6
CPT0011410003
Tumor
-0.6
CPT0025170003
Tumor
-0.6
CPT0088900003
Tumor
-0.6
CPT0000870016
Tumor
-0.6
CPT0025880003
Tumor
-0.6
CPT0015730003
Tumor
-0.7
CPT0012370003
Tumor
-0.7
CPT0006440003
Tumor
-0.7
CPT0075720003
Tumor
-0.7
CPT0026410003
Tumor
-0.7
CPT0000780007
Tumor
-0.7
CPT0001540009
Tumor
-0.7
CPT0081600003
Tumor
-0.7
CPT0069000003
Tumor
-0.8
CPT0078660003
Tumor
-0.8
CPT0088630003
Tumor
-0.8
CPT0025350003
Tumor
-0.8
CPT0065870003
Tumor
-0.9
CPT0085670003
Tumor
-0.9
CPT0001180009
Tumor
-1.0
CPT0086870003
Tumor
-1.1
CPT0014370004
Tumor
-1.1
CPT0025110003
Tumor
-1.2
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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
