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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.
LAMTOR2 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 TPM
48.7
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
186.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
115.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
107.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
87.8
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
86.3
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
79.8
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
73.9
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
63.6
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
63.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
62.2
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
59.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
57.6
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
55.7
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
55.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
53.1
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
52.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
52.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
52.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
51.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
50.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
50.7
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
50.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
50.4
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
49.7
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
49.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
49.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
48.8
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
48.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
47.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
46.9
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
46.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
44.9
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
44.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
43.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
43.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
43.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
42.9
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
42.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
41.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
40.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
40.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
40.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
39.3
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
38.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
38.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
37.7
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
37.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
36.5
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
35.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
34.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
32.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
32.1
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
31.4
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
31.3
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
30.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
28.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
27.7
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
27.5
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
27.1
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
25.8
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
25.0
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
19.3
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
13.7
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 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.
LAMTOR2 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
82.6
Number of samples
521
Samples
Sample
Description
TPM
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
240.9
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
229.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
199.4
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
191.2
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
187.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
172.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
170.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
168.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
168.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
161.4
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
158.4
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
158.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
157.0
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
156.5
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
155.5
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
154.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
153.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
152.3
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
149.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
148.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
147.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
143.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
143.4
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
142.4
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
141.3
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
141.1
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
140.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
139.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
138.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
138.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
138.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
134.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
131.4
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
129.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
129.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
129.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
128.3
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
128.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
127.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
126.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
126.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
124.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
124.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
124.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
122.6
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
122.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
121.5
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
120.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
119.8
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
119.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
119.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
118.3
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
118.2
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
118.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
116.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
116.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
116.7
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
116.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
116.3
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
115.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
115.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
114.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
114.5
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
114.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
113.9
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
113.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
113.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
112.8
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
112.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
112.5
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
111.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
111.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
111.1
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
110.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
110.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
110.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
110.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
109.3
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
108.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
108.3
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
108.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
107.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
107.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
107.2
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
106.9
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
106.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
106.4
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
106.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
105.8
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
105.6
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
104.1
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
103.7
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
103.0
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
102.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
102.7
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
102.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
102.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
101.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
101.8
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
101.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
101.6
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
101.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
101.3
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
100.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
100.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
99.8
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
99.8
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
99.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
99.4
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
99.2
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
99.0
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
98.8
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
98.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
98.5
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
98.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
98.3
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
98.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
98.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
97.5
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
97.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
97.4
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
97.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
97.1
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
97.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
97.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
97.0
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
96.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
96.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
96.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
96.4
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
96.2
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
96.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
96.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
96.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
95.9
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
95.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
95.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
95.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
95.5
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
95.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
95.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
94.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
94.6
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
94.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
94.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
93.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
93.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
93.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
93.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
93.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
93.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
93.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
92.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
92.8
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
92.7
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
92.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
92.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
92.3
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
92.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
91.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
91.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
91.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
91.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
91.4
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
91.3
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
91.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
90.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
90.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
90.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
90.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
90.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
90.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
90.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
90.3
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
90.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
89.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
89.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
89.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
89.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
88.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
88.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
88.6
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
88.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
88.5
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
87.9
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
87.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
87.3
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
87.2
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
87.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
86.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
86.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
86.8
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
86.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
86.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
86.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
86.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
86.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
86.0
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
85.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
85.7
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
85.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
85.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
85.3
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
84.8
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
84.6
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
84.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
84.5
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
84.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
84.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
83.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
83.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
82.9
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
82.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
82.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
82.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
82.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
81.9
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
81.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
81.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
81.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
81.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
81.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
81.6
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
81.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
81.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
81.2
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
81.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
81.1
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
81.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
81.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
80.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
80.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
80.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
80.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
80.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
80.6
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
80.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
80.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
80.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
80.3
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
80.2
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
80.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
79.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
79.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
79.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
79.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
79.2
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
78.9
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
78.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
78.7
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
78.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
78.3
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
78.2
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
77.9
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
77.6
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
77.6
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
77.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
77.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
77.1
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
77.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
77.0
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
76.6
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
76.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
76.5
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
76.3
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
76.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
76.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
76.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
76.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
76.1
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
76.0
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
75.8
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
75.8
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
75.7
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
75.4
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
75.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
75.2
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
75.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
74.9
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
74.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
74.9
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
74.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
74.8
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
74.8
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
74.7
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
74.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
74.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
74.5
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
74.3
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
74.1
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
74.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
73.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
73.7
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
73.5
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
73.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
73.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
73.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
73.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
72.9
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
72.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
72.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
72.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
72.6
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
72.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
72.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
72.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
72.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
72.3
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
72.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
72.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
72.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
72.0
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
72.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
71.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
71.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
71.5
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
71.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
71.2
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
71.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
71.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
71.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
71.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
70.9
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
70.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
70.6
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
70.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
70.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
70.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
70.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
70.4
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
70.2
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
70.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
70.2
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
70.0
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
70.0
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
69.9
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
69.9
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
69.7
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
69.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
69.3
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
69.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
69.1
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
69.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
69.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
69.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
69.0
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
68.9
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
68.7
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
68.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
68.2
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
68.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
67.9
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
67.8
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
67.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
67.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
67.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
67.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
66.7
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
66.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
66.6
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
66.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
66.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
66.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
66.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
66.3
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
66.1
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
65.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
65.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
65.3
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
65.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
65.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
64.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
64.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
64.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
64.7
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
64.6
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
64.5
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
64.4
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
64.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
64.3
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
64.2
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
64.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
64.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
64.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
64.0
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
64.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
63.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
63.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
63.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
63.6
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
63.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
63.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
63.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
63.1
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
63.1
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
63.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
63.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
62.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
62.6
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
62.6
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
62.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
61.9
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
61.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
61.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
61.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
60.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
60.8
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
60.8
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
60.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
60.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
60.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
60.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
60.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
60.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
59.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
59.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
59.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
59.4
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
59.4
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
58.8
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
58.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
58.7
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
58.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
58.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
58.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
58.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
58.3
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
58.3
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
58.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
57.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
57.8
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
57.7
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
57.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
57.6
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
57.6
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
57.5
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
57.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
57.4
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
57.4
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
57.2
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
57.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
56.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
56.9
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
56.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
56.6
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
56.6
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
56.0
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
55.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
55.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
55.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
55.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
55.2
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
55.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
55.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
55.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
54.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
54.7
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
54.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
54.6
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
54.5
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
54.5
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
54.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
54.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
54.3
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
54.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
54.1
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
54.0
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
53.4
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
53.4
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
53.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
53.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
52.8
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
52.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
52.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
51.9
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
51.8
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
51.7
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
51.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
50.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
50.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
50.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
50.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
50.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
49.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
49.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
49.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
48.8
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
48.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
48.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
47.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
46.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
46.9
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
46.7
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
46.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
45.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
45.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
44.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
44.3
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
43.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
42.7
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
42.7
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
41.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
41.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
40.5
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
38.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
38.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
37.6
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
37.4
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
37.1
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
36.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
34.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
34.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
34.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
34.4
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
33.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
33.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
31.9
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
29.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
20.0
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
11.4
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMTOR2 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 TPM
68.5
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
160.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
139.6
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
125.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
123.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
114.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
113.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
108.7
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
108.0
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
99.1
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
97.6
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
91.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
91.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
91.5
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
89.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
88.1
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
87.4
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
87.1
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
86.1
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
85.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
85.4
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
84.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
83.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
81.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
79.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
78.5
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
78.2
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
78.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
78.0
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
77.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
76.5
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
75.5
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
73.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
73.2
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
72.2
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
72.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
71.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
71.3
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
71.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
70.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
69.9
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
68.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
67.4
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
67.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
66.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
66.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
65.9
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
64.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
64.7
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
64.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
64.4
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
64.4
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
64.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
64.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
63.4
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
63.1
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
62.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
62.4
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
62.2
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
62.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
61.6
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
60.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
60.8
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
60.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
59.6
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
59.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
59.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
58.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
58.3
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
58.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
58.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
57.7
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
56.7
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
56.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
55.5
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
55.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
55.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
54.8
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
54.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
54.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
52.6
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
52.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
52.0
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
50.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
49.9
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
49.3
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
48.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
48.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
47.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
47.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
44.7
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
42.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
41.0
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
38.9
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
37.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
36.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
36.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
28.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
27.9
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
25.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMTOR2 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 TPM
104.5
Number of samples
282
Samples
Sample
Description
TPM
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
286.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
239.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
226.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
226.3
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
218.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
211.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
201.2
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
201.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
195.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
194.3
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
193.4
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
192.4
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
190.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
189.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
187.9
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
177.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
176.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
176.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
174.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
171.2
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
169.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
168.8
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
166.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
163.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
154.4
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
153.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
153.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
153.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
150.4
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
150.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
149.6
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
149.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
148.0
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
147.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
145.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
144.2
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
144.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
144.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
142.3
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
141.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
140.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
140.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
139.1
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
139.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
138.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
137.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
136.8
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
136.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
136.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
135.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
135.5
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
135.2
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
134.7
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
132.8
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
130.6
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
130.5
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
129.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
129.4
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
129.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
128.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
127.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
127.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
127.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
126.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
125.8
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
124.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
124.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
124.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
123.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
122.9
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
121.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
121.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
121.2
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
120.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
120.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
120.5
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
119.9
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
119.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
119.8
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
119.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
119.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
119.4
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
119.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
119.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
118.8
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
117.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
117.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
117.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
116.7
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
116.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
116.3
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
116.3
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
116.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
114.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
113.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
113.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
113.3
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
113.2
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
113.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
112.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
112.0
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
111.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
110.2
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
109.1
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
108.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
108.2
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
107.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
107.2
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
107.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
106.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
106.7
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
106.0
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
105.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
105.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
105.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
105.1
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
105.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
104.8
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
104.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
104.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
104.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
104.5
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
104.5
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
104.2
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
104.1
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
104.0
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
103.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
103.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
103.0
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
102.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
102.6
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
102.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
102.3
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
101.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
101.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
101.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
101.8
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
101.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
101.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
101.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
101.4
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
101.2
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
101.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
100.7
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
100.7
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
100.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
99.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
99.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
99.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
99.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
99.2
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
99.2
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
99.0
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
98.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
98.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
98.0
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
97.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
97.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
97.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
97.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
96.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
96.0
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
95.7
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
95.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
95.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
95.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
95.0
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
95.0
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
94.9
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
94.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
94.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
94.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
94.1
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
93.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
93.2
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
92.9
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
92.7
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
92.6
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
92.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
91.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
90.9
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
90.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
90.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
90.8
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
90.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
90.5
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
90.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
89.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
89.6
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
89.5
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
89.4
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
89.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
88.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
88.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
87.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
87.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
87.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
87.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
87.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
86.3
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
85.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
83.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
83.9
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
82.7
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
82.5
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
81.4
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
81.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
81.0
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
80.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
79.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
79.3
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
79.0
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
78.8
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
78.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
77.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
77.4
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
76.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
76.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
76.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
76.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
76.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
76.2
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
76.1
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
75.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
75.4
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
75.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
74.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
73.9
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
73.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
73.4
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
73.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
72.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
72.3
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
72.2
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
71.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
71.8
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
70.8
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
69.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
69.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
68.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
67.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
67.9
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
65.9
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
65.8
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
65.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
65.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
64.9
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
64.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
64.0
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
63.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
62.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
62.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
62.0
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
61.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
61.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
60.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
58.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
56.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
56.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
53.1
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
51.8
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
51.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
51.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
50.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
49.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
47.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
46.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
44.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
41.4
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
37.8
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
37.1
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
36.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
34.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
31.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
30.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
28.7
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
24.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
24.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
21.2
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
21.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
17.0
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0079180003
Tumor
1.4
CPT0078660003
Tumor
1.0
CPT0086950003
Tumor
0.8
CPT0078800003
Tumor
0.7
CPT0077310003
Tumor
0.5
CPT0076350001
Normal
0.5
CPT0088970003
Tumor
0.5
CPT0002270011
Tumor
0.5
CPT0012570003
Normal
0.4
CPT0014160003
Tumor
0.4
CPT0026420001
Normal
0.4
CPT0015810003
Tumor
0.4
CPT0012900004
Tumor
0.4
CPT0012090003
Normal
0.4
CPT0092290003
Tumor
0.4
CPT0010170001
Normal
0.4
CPT0018250001
Normal
0.3
CPT0017410003
Tumor
0.3
CPT0024680001
Normal
0.3
CPT0024670003
Tumor
0.3
CPT0009080003
Normal
0.3
CPT0092740003
Normal
0.3
CPT0006730001
Normal
0.3
CPT0012920003
Normal
0.3
CPT0012290003
Normal
0.2
CPT0082010001
Normal
0.2
CPT0001350001
Normal
0.2
CPT0017450001
Normal
0.2
CPT0025060001
Normal
0.2
CPT0012550003
Tumor
0.2
CPT0086970003
Normal
0.2
CPT0064370003
Tumor
0.2
CPT0012280003
Tumor
0.2
CPT0075570001
Normal
0.2
CPT0087050003
Normal
0.2
CPT0063320003
Tumor
0.2
CPT0012770003
Normal
0.2
CPT0088920001
Normal
0.2
CPT0013790003
Normal
0.2
CPT0088550004
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0079430001
Normal
0.2
CPT0066430001
Normal
0.2
CPT0092800003
Normal
0.2
CPT0088480003
Tumor
0.2
CPT0023360001
Normal
0.2
CPT0086820003
Tumor
0.2
CPT0077140001
Normal
0.1
CPT0063330001
Normal
0.1
CPT0009060003
Tumor
0.1
CPT0025610001
Normal
0.1
CPT0078840001
Normal
0.1
CPT0086030003
Tumor
0.1
CPT0023710001
Normal
0.1
CPT0007320003
Tumor
0.1
CPT0014130001
Normal
0.1
CPT0065930003
Tumor
0.1
CPT0065450001
Normal
0.1
CPT0066480003
Tumor
0.1
CPT0009020003
Normal
0.1
CPT0001190001
Normal
0.1
CPT0089480003
Normal
0.1
CPT0007470001
Normal
0.1
CPT0020120003
Tumor
0.1
CPT0066470004
Tumor
0.1
CPT0006950001
Normal
0.1
CPT0078510003
Tumor
0.1
CPT0081620001
Normal
0.1
CPT0086370003
Normal
0.1
CPT0007870001
Normal
0.1
CPT0075170001
Normal
0.1
CPT0011410003
Tumor
0.1
CPT0069010001
Normal
0.1
CPT0089040001
Normal
0.1
CPT0012640003
Normal
0.1
CPT0063640001
Normal
0.1
CPT0065750003
Tumor
0.1
CPT0092160003
Tumor
0.1
CPT0065820001
Normal
0.1
CPT0010110003
Tumor
0.1
CPT0086360003
Tumor
0.1
CPT0088710001
Normal
0.1
CPT0010120001
Normal
0.1
CPT0063630003
Tumor
0.1
CPT0089460004
Tumor
0.1
CPT0078940001
Normal
0.1
CPT0064400001
Normal
0.1
CPT0000790001
Normal
0.1
CPT0014350001
Normal
0.1
CPT0025920001
Normal
0.1
CPT0086830003
Normal
0.1
CPT0015730003
Tumor
0.1
CPT0077500001
Normal
0.0
CPT0092310003
Normal
0.0
CPT0088780001
Normal
0.0
CPT0023690003
Tumor
0.0
CPT0020020001
Normal
0.0
CPT0086890003
Normal
0.0
CPT0078670001
Normal
0.0
CPT0089020003
Tumor
0.0
CPT0012080003
Tumor
0.0
CPT0076330003
Tumor
0.0
CPT0001180009
Tumor
0.0
CPT0077110003
Tumor
0.0
CPT0079000001
Normal
0.0
CPT0014470001
Normal
0.0
CPT0020130001
Normal
0.0
CPT0006530001
Normal
0.0
CPT0065430003
Tumor
0.0
CPT0019990003
Tumor
0.0
CPT0021240003
Tumor
0.0
CPT0001270001
Normal
0.0
CPT0066520001
Normal
0.0
CPT0006440003
Tumor
0.0
CPT0011240003
Tumor
0.0
CPT0019130003
Tumor
0.0
CPT0000890001
Normal
0.0
CPT0069190001
Normal
0.0
CPT0079480003
Tumor
0.0
CPT0000870016
Tumor
0.0
CPT0088570001
Normal
0.0
CPT0078930003
Tumor
0.0
CPT0025880003
Tumor
-0.1
CPT0084560003
Tumor
-0.1
CPT0015910003
Tumor
-0.1
CPT0088500001
Normal
-0.1
CPT0000660001
Normal
-0.1
CPT0087040003
Tumor
-0.1
CPT0092730003
Tumor
-0.1
CPT0079410003
Tumor
-0.1
CPT0088640003
Normal
-0.1
CPT0079510001
Normal
-0.1
CPT0001220008
Tumor
-0.1
CPT0000780007
Tumor
-0.1
CPT0019160001
Normal
-0.1
CPT0012670003
Tumor
-0.1
CPT0025050003
Tumor
-0.1
CPT0085670003
Tumor
-0.1
CPT0001550001
Normal
-0.1
CPT0081990003
Tumor
-0.1
CPT0009000003
Tumor
-0.1
CPT0001510001
Normal
-0.1
CPT0078990003
Tumor
-0.1
CPT0079380003
Tumor
-0.1
CPT0078830003
Tumor
-0.1
CPT0075560003
Tumor
-0.1
CPT0077320001
Normal
-0.1
CPT0065810003
Tumor
-0.1
CPT0001230001
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0065690003
Tumor
-0.1
CPT0075720003
Tumor
-0.1
CPT0001500009
Tumor
-0.1
CPT0026410003
Tumor
-0.1
CPT0079230003
Tumor
-0.2
CPT0014450004
Tumor
-0.2
CPT0025230003
Tumor
-0.2
CPT0025580004
Tumor
-0.2
CPT0092190003
Normal
-0.2
CPT0012370003
Tumor
-0.2
CPT0017850003
Tumor
-0.2
CPT0077490003
Tumor
-0.2
CPT0078530001
Normal
-0.2
CPT0079300001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0007860003
Tumor
-0.2
CPT0001540009
Tumor
-0.2
CPT0006900003
Tumor
-0.2
CPT0025290003
Tumor
-0.2
CPT0001340003
Tumor
-0.2
CPT0014370004
Tumor
-0.2
CPT0012180003
Tumor
-0.3
CPT0081600003
Tumor
-0.3
CPT0023350003
Tumor
-0.3
CPT0069000003
Tumor
-0.3
CPT0025170003
Tumor
-0.3
CPT0081880003
Tumor
-0.3
CPT0065870003
Tumor
-0.3
CPT0088760003
Tumor
-0.3
CPT0075130003
Tumor
-0.3
CPT0010160003
Tumor
-0.3
CPT0071150004
Tumor
-0.3
CPT0025110003
Tumor
-0.3
CPT0025350003
Tumor
-0.3
CPT0006630003
Tumor
-0.3
CPT0001260009
Tumor
-0.3
CPT0079270003
Tumor
-0.3
CPT0088900003
Tumor
-0.4
CPT0088690003
Tumor
-0.4
CPT0086870003
Tumor
-0.4
CPT0002350011
Tumor
-0.4
CPT0088630003
Tumor
-0.4
CPT0000640003
Tumor
-0.5
CPT0069160003
Tumor
-0.6
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
