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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.
VIM is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
455.2
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
17094.3
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1722.8
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
690.5
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
612.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
517.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
347.6
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
335.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
313.7
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
299.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
288.5
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
277.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
274.7
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
236.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
235.9
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
220.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
196.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
192.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
188.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
183.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
183.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
175.5
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
169.6
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
164.7
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
159.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
154.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
152.7
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
152.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
146.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
144.9
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
143.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
138.0
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
137.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
133.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
133.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
119.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
118.8
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
116.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
115.5
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
111.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
109.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
108.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
107.1
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
106.0
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
105.4
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
101.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
99.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
97.0
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
94.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
92.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
83.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
82.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
81.4
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
80.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
78.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
74.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
74.6
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
73.0
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
72.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
69.4
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
60.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
57.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
57.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
55.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 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.
VIM is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3169.2
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
10583.5
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
8753.9
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
8188.9
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
7675.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
7599.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
7433.9
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
7223.1
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
7140.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
6961.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6945.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
6506.5
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
6493.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
6419.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
6107.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6106.9
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5966.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
5917.0
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5908.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
5894.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
5892.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
5888.3
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
5872.9
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
5865.8
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
5857.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5820.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
5787.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5763.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
5694.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
5684.5
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
5679.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
5663.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5657.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
5641.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
5484.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
5471.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
5324.6
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
5311.6
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
5305.4
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
5284.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5263.2
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
5123.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
5097.1
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
5096.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
5092.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
5081.3
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5061.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
5054.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4965.9
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4955.3
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4940.1
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
4934.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
4908.8
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
4886.1
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4875.5
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
4866.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
4832.9
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
4814.9
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
4780.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
4723.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4717.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
4715.2
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4699.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4672.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
4650.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
4650.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
4636.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
4629.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
4588.9
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
4584.0
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
4566.5
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
4562.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4535.3
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4526.9
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4504.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
4494.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4494.1
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
4489.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4486.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4474.4
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4450.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4437.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
4416.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
4409.9
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4358.1
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4355.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
4335.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4324.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4318.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
4317.6
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
4312.2
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4310.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
4296.4
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
4285.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
4277.8
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
4275.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4272.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4268.2
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
4222.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
4218.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
4216.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
4138.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
4134.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
4132.6
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
4113.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
4111.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
4106.1
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
4106.1
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4105.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
4100.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
4069.9
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4058.4
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
4046.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
4008.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
4008.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
4003.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3989.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3980.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
3979.7
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3959.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3955.5
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3953.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3928.9
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3927.4
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3915.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3903.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3902.7
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3900.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3892.0
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
3888.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3887.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3875.4
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3855.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3843.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3842.4
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3836.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
3831.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3829.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3824.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3822.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3814.3
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
3806.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3796.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3794.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3788.8
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3764.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
3744.6
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3744.5
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
3739.2
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3726.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3721.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3718.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3717.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3712.9
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3707.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3682.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3679.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
3676.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3671.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3653.5
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3649.0
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3647.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3645.6
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
3642.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3634.3
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3633.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3632.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3616.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
3612.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3604.8
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3595.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3592.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3577.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3574.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3560.5
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
3558.4
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3555.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3544.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3532.7
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
3531.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3531.0
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3516.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
3515.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
3504.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3503.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
3495.3
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3494.3
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
3493.5
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
3493.4
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3478.2
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3472.3
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3471.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3470.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
3468.9
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3457.0
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3451.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
3448.2
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3447.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3442.9
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3433.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
3432.8
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3427.6
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3427.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
3426.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3420.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3411.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3410.5
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3406.7
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3405.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3404.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3403.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3399.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
3392.6
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3379.6
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3376.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3368.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3366.9
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
3366.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
3365.2
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3356.1
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
3355.2
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3350.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3338.2
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
3330.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3325.4
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3323.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
3320.0
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3317.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3311.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3296.4
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3294.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3289.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3288.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3283.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3277.2
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
3276.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3268.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3268.1
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3252.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3245.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3244.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3240.9
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
3230.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3224.8
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3214.0
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3213.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
3210.3
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3205.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3190.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3185.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3174.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3167.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
3164.1
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
3134.9
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3126.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3120.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3117.4
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3107.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3106.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
3104.3
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3103.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3100.9
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3098.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
3098.5
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3087.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
3086.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3086.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
3083.8
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3070.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3068.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3065.1
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3052.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
3050.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3029.8
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3029.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3022.2
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3017.6
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
3014.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3013.2
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3009.8
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3002.8
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3000.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2995.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2984.8
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2984.2
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2971.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2957.0
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2955.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2949.5
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2942.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2941.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2938.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2937.8
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2936.7
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2925.5
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2915.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2913.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
2901.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2898.7
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2893.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2892.8
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2892.3
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2890.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2890.0
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2886.1
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2884.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2851.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
2846.7
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2838.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2833.9
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2825.1
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2823.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2813.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2812.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
2810.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2808.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2804.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2794.6
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2794.5
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2791.9
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2790.9
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2783.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2780.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
2780.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2761.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2758.0
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
2735.2
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2727.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2723.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2721.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
2720.2
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2716.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2709.8
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2703.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2687.6
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2687.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2686.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2669.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2655.9
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2639.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2636.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2634.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2621.5
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2621.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2619.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2617.3
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2593.6
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2585.5
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2568.6
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2552.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2550.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2533.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2529.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2526.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2512.0
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
2506.3
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2501.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2498.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2494.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2486.3
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2477.2
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2473.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
2472.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2464.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
2459.7
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2432.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2417.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2413.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2411.1
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2408.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
2406.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2404.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2397.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2395.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2391.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2380.6
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2373.5
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2362.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2355.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2353.5
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2348.3
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2348.3
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
2347.4
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2346.0
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2328.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2325.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2320.5
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2314.9
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2309.7
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2306.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2305.8
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2302.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2299.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2296.4
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
2273.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2271.0
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2259.1
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2254.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2253.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2220.6
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2214.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2199.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2194.3
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2188.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2185.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2175.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2166.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2160.4
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2159.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2141.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2138.7
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2131.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2129.8
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
2129.5
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2101.4
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2093.6
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2092.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2078.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2074.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2074.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2072.6
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2065.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2042.1
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2026.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2021.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2020.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2010.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2009.7
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
1989.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1981.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1977.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1960.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1947.9
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1947.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1928.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1916.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1906.4
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1901.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1886.9
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1875.9
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1873.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1861.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1856.8
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1849.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1842.3
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1800.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1793.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1731.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1722.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1718.8
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1717.4
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1714.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1708.0
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
1701.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1699.9
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1695.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1679.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1671.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1658.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1655.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1653.0
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1614.7
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1598.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1595.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1586.9
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1582.4
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1576.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1569.8
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
1567.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1516.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1516.5
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1511.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1499.5
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1433.5
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1430.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1420.9
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1417.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1411.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1401.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1382.9
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1325.5
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
1317.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1302.1
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1271.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1270.0
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1258.1
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1221.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1201.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1139.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1120.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1118.8
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1118.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1107.6
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1070.4
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1048.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1013.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1011.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1007.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
991.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
908.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
867.3
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
712.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
694.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
672.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
609.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
501.1
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
450.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
389.8
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
381.2
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
259.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
242.4
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
184.1
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
176.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
149.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
144.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
133.3
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
116.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
114.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
96.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
82.8
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
82.4
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 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.
VIM 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
3375.0
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
13820.5
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
10962.6
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
8539.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
6290.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
5831.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
5719.7
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
5531.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
5158.7
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5075.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4967.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4965.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4941.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4829.0
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
4666.8
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
4597.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
4564.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4543.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
4510.5
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
4479.7
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
4476.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4460.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4425.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4416.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4217.9
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
4198.2
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
4081.5
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
4033.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3910.6
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
3895.7
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3863.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3784.5
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3715.7
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3677.2
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3618.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3581.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3578.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3513.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3445.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3340.6
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
3318.4
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3281.0
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3270.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3248.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
3224.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
3221.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3215.8
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
3193.2
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3186.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
3041.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3023.2
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3015.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3007.4
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2959.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2958.6
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2875.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2845.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2834.4
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2829.6
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2795.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2794.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2763.9
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2717.8
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2712.7
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2677.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2673.9
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2659.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2636.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2630.5
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2630.5
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2613.6
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2611.9
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
2533.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2394.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2385.6
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2323.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2317.7
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2315.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2295.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2225.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2190.4
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
2166.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2059.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2009.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1973.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1954.8
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1763.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1734.7
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1732.6
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1714.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1687.1
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1632.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1613.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1549.9
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1502.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1483.1
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1408.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1353.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
743.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
512.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VIM 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
1387.5
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
5569.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4512.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3980.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3322.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3196.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3117.5
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3034.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3023.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2858.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2741.5
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2721.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2517.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2516.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2478.4
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
2474.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2400.8
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2383.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2364.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2353.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2305.2
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2288.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2250.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2239.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2215.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
2208.8
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2165.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2164.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
2164.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2159.3
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2122.4
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2113.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2095.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2033.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2032.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2019.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2001.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1998.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1978.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1950.1
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1941.7
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1903.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1896.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
1895.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1884.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1879.4
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1876.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1873.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1862.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1861.6
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1855.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1850.6
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1838.6
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
1832.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
1818.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1813.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1796.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
1779.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1779.1
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1777.6
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1776.1
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1760.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1738.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1726.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1725.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1716.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
1716.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1713.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1706.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1701.1
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1690.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1682.6
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
1676.9
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1674.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
1671.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1661.4
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1651.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1647.0
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
1632.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1628.2
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1625.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1621.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1616.2
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1616.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1605.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1603.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1600.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1597.9
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1594.6
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1591.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1590.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1582.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1581.4
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1575.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1575.7
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1559.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1557.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
1553.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1543.3
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1538.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1531.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1525.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1516.9
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1514.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1514.4
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1512.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1508.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1506.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
1499.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1486.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1486.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
1485.3
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1483.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1476.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1461.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1456.2
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1450.6
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
1447.0
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1446.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1445.3
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1432.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1432.5
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1431.7
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1423.7
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1421.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1414.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1414.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1412.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1411.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
1399.3
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1398.0
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1396.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1389.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1387.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1384.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1369.8
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1363.3
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1363.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1358.4
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1344.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1342.9
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1341.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
1335.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1333.2
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1329.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1324.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1322.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1303.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1301.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1299.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
1299.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1295.4
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1294.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
1290.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1290.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1287.1
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1286.7
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1285.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1283.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1282.1
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1282.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1279.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1260.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1259.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
1246.8
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1244.7
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1244.6
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1243.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1237.3
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1225.3
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1221.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1220.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1216.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
1208.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1204.1
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1201.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1200.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
1193.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1193.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1190.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1176.6
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1173.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1173.3
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1162.2
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1153.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1143.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1129.8
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1129.0
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1125.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1119.3
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1118.5
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1118.3
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1117.1
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1113.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1112.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1112.2
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1108.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1107.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1106.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1105.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1099.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1099.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1097.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1095.4
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1088.6
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
1083.7
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1069.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1066.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1054.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1045.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1045.2
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1038.9
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1019.1
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1013.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1009.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
1005.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1002.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
991.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
981.0
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
953.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
941.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
937.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
918.0
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
916.2
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
908.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
894.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
891.5
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
878.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
872.0
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
843.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
827.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
818.0
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
817.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
815.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
805.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
800.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
799.5
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
797.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
788.0
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
760.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
738.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
715.7
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
712.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
681.6
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
674.1
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
667.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
644.1
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
638.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
621.8
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
616.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
597.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
584.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
583.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
579.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
576.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
573.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
571.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
557.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
554.4
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
549.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
545.5
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
531.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
527.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
495.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
470.8
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
464.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
417.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
414.8
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
401.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
389.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
354.1
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
282.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
257.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
243.5
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
209.2
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
201.7
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
190.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
183.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
182.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
149.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
144.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
122.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
51.7
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
1.5
CPT0076330003
Tumor
1.3
CPT0023350003
Tumor
1.2
CPT0088550004
Tumor
1.1
CPT0017410003
Tumor
0.9
CPT0001260009
Tumor
0.9
CPT0069000003
Tumor
0.9
CPT0086950003
Tumor
0.9
CPT0065690003
Tumor
0.8
CPT0012550003
Tumor
0.8
CPT0079380003
Tumor
0.8
CPT0011240003
Tumor
0.8
CPT0084560003
Tumor
0.8
CPT0077490003
Tumor
0.8
CPT0007860003
Tumor
0.7
CPT0092290003
Tumor
0.7
CPT0092160003
Tumor
0.7
CPT0078510003
Tumor
0.7
CPT0081600003
Tumor
0.7
CPT0088760003
Tumor
0.7
CPT0092790003
Tumor
0.7
CPT0025880003
Tumor
0.7
CPT0000780007
Tumor
0.7
CPT0014450004
Tumor
0.6
CPT0071150004
Tumor
0.6
CPT0012370003
Tumor
0.6
CPT0025110003
Tumor
0.6
CPT0002350011
Tumor
0.6
CPT0023690003
Tumor
0.6
CPT0092730003
Tumor
0.6
CPT0014160003
Tumor
0.6
CPT0088900003
Tumor
0.6
CPT0079270003
Tumor
0.6
CPT0015910003
Tumor
0.6
CPT0006440003
Tumor
0.6
CPT0001180009
Tumor
0.6
CPT0000640003
Tumor
0.6
CPT0025350003
Tumor
0.5
CPT0088630003
Tumor
0.5
CPT0066480003
Tumor
0.5
CPT0078830003
Tumor
0.5
CPT0021240003
Tumor
0.5
CPT0012080003
Tumor
0.5
CPT0069160003
Tumor
0.5
CPT0089460004
Tumor
0.5
CPT0063630003
Tumor
0.5
CPT0012280003
Tumor
0.5
CPT0025230003
Tumor
0.5
CPT0019130003
Tumor
0.5
CPT0017850003
Tumor
0.5
CPT0081990003
Tumor
0.5
CPT0015810003
Tumor
0.5
CPT0079480003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0085670003
Tumor
0.4
CPT0066470004
Tumor
0.4
CPT0010160003
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0001500009
Tumor
0.4
CPT0006630003
Tumor
0.4
CPT0075130003
Tumor
0.3
CPT0092190003
Normal
0.3
CPT0089020003
Tumor
0.3
CPT0065930003
Tumor
0.3
CPT0079410003
Tumor
0.3
CPT0025050003
Tumor
0.3
CPT0086870003
Tumor
0.3
CPT0081880003
Tumor
0.3
CPT0075720003
Tumor
0.3
CPT0002270011
Tumor
0.3
CPT0075560003
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0086820003
Tumor
0.3
CPT0065750003
Tumor
0.3
CPT0079230003
Tumor
0.2
CPT0065430003
Tumor
0.2
CPT0063320003
Tumor
0.2
CPT0077310003
Tumor
0.2
CPT0025580004
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0064370003
Tumor
0.2
CPT0000870016
Tumor
0.2
CPT0065870003
Tumor
0.2
CPT0077320001
Normal
0.2
CPT0087040003
Tumor
0.2
CPT0007320003
Tumor
0.2
CPT0014370004
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0006900003
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0001540009
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0086030003
Tumor
0.1
CPT0077110003
Tumor
0.1
CPT0065810003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0012670003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0078800003
Tumor
0.1
CPT0088480003
Tumor
0.0
CPT0009060003
Tumor
0.0
CPT0088690003
Tumor
0.0
CPT0078990003
Tumor
0.0
CPT0078930003
Tumor
0.0
CPT0010120001
Normal
0.0
CPT0020120003
Tumor
-0.1
CPT0001270001
Normal
-0.1
CPT0014470001
Normal
-0.2
CPT0012180003
Tumor
-0.2
CPT0079510001
Normal
-0.2
CPT0024680001
Normal
-0.2
CPT0024670003
Tumor
-0.3
CPT0000890001
Normal
-0.3
CPT0015730003
Tumor
-0.3
CPT0078530001
Normal
-0.4
CPT0088570001
Normal
-0.4
CPT0002370001
Normal
-0.4
CPT0000660001
Normal
-0.4
CPT0069190001
Normal
-0.5
CPT0086830003
Normal
-0.5
CPT0012920003
Normal
-0.5
CPT0086970003
Normal
-0.5
CPT0006530001
Normal
-0.5
CPT0009020003
Normal
-0.5
CPT0001510001
Normal
-0.6
CPT0075170001
Normal
-0.6
CPT0066520001
Normal
-0.6
CPT0012290003
Normal
-0.6
CPT0075570001
Normal
-0.6
CPT0065820001
Normal
-0.6
CPT0011410003
Tumor
-0.6
CPT0019160001
Normal
-0.6
CPT0020130001
Normal
-0.6
CPT0012640003
Normal
-0.6
CPT0063640001
Normal
-0.6
CPT0001190001
Normal
-0.6
CPT0013790003
Normal
-0.6
CPT0018250001
Normal
-0.6
CPT0088500001
Normal
-0.7
CPT0069010001
Normal
-0.7
CPT0001550001
Normal
-0.7
CPT0086890003
Normal
-0.7
CPT0014130001
Normal
-0.7
CPT0088710001
Normal
-0.7
CPT0010170001
Normal
-0.7
CPT0063330001
Normal
-0.7
CPT0082010001
Normal
-0.7
CPT0007470001
Normal
-0.7
CPT0076350001
Normal
-0.7
CPT0012090003
Normal
-0.7
CPT0077500001
Normal
-0.7
CPT0023360001
Normal
-0.7
CPT0007870001
Normal
-0.7
CPT0078940001
Normal
-0.7
CPT0079300001
Normal
-0.8
CPT0064400001
Normal
-0.8
CPT0089040001
Normal
-0.8
CPT0025060001
Normal
-0.8
CPT0086370003
Normal
-0.8
CPT0081620001
Normal
-0.8
CPT0077140001
Normal
-0.8
CPT0079430001
Normal
-0.8
CPT0066430001
Normal
-0.8
CPT0017450001
Normal
-0.8
CPT0025920001
Normal
-0.8
CPT0020020001
Normal
-0.8
CPT0009080003
Normal
-0.8
CPT0092310003
Normal
-0.8
CPT0092800003
Normal
-0.8
CPT0025610001
Normal
-0.8
CPT0079180003
Tumor
-0.9
CPT0088920001
Normal
-0.9
CPT0023710001
Normal
-0.9
CPT0078840001
Normal
-0.9
CPT0014350001
Normal
-0.9
CPT0078670001
Normal
-0.9
CPT0078660003
Tumor
-0.9
CPT0087050003
Normal
-0.9
CPT0006950001
Normal
-1.0
CPT0001230001
Normal
-1.0
CPT0012570003
Normal
-1.0
CPT0079000001
Normal
-1.0
CPT0092740003
Normal
-1.0
CPT0088640003
Normal
-1.0
CPT0089480003
Normal
-1.0
CPT0026420001
Normal
-1.0
CPT0001350001
Normal
-1.1
CPT0012770003
Normal
-1.1
CPT0088780001
Normal
-1.1
CPT0006730001
Normal
-1.1
CPT0065450001
Normal
-1.1
CPT0000790001
Normal
-1.2
CPT0088970003
Tumor
-1.3
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
