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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.
TPT1 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2277.4
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
8851.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
4684.7
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
4616.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
4356.0
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
3811.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
3595.4
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
3402.3
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3352.4
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
3055.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
3029.4
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
3023.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
3013.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2969.6
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
2931.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2717.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
2697.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2685.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
2620.8
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
2569.9
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
2479.5
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2465.1
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
2458.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
2428.1
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
2366.3
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2229.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2184.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2165.4
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
2110.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
2103.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
2093.8
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2070.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
2068.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2046.8
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2016.8
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1980.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1951.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1910.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
1906.5
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1882.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1839.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1835.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1788.4
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1775.9
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1708.3
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1594.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1591.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1569.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1556.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1553.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
1491.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1484.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1482.9
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1374.9
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1350.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1311.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1266.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1229.6
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1221.7
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1183.6
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1069.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
964.0
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
960.2
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
939.8
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
8419.9
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
34458.0
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
26290.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
21420.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
21353.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
20021.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
19821.1
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
19562.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
17497.0
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
17281.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
16158.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
15850.3
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
15580.1
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
15524.4
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
15492.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
15090.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
15079.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
15061.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
14844.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
14550.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
14299.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
14290.1
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
13857.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
13850.3
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
13841.5
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
13782.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
13699.0
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
13393.2
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
13376.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
13277.9
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
13190.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
13083.9
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
12996.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
12981.7
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
12974.6
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
12946.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
12939.1
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
12883.5
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
12737.5
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
12629.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
12628.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
12620.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
12602.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
12564.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
12543.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
12485.7
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
12474.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
12395.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
12389.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
12269.1
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
12167.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
12001.5
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
11996.4
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
11921.1
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
11895.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
11837.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
11810.6
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
11733.1
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
11701.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
11681.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
11657.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
11521.9
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
11462.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
11389.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
11378.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
11374.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
11271.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
11231.9
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
11223.9
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
11169.7
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
11160.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
11144.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
11144.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
11127.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
11109.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
11106.0
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
11104.2
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
11071.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
11061.5
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
10960.3
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
10950.3
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
10837.9
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
10830.1
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
10812.2
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
10804.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
10764.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
10725.3
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
10706.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
10687.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
10671.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
10665.9
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
10639.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
10607.1
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
10583.4
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
10566.3
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
10551.9
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
10532.1
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
10482.8
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
10481.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
10468.9
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
10445.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
10426.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
10326.1
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
10317.6
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
10306.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
10269.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
10256.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
10246.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
10214.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
10207.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
10195.0
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
10192.5
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
10181.8
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
10164.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
10156.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
10111.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
10096.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
10060.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
10040.1
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
10039.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
10037.6
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
9977.8
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
9971.7
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
9962.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
9944.6
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
9898.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
9887.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
9874.9
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
9828.3
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
9818.3
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
9816.3
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
9789.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
9758.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
9753.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
9748.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
9730.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
9687.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
9679.4
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
9666.2
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
9666.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
9644.2
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
9630.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
9605.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
9585.4
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
9568.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
9541.2
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
9529.2
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
9506.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
9504.0
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
9496.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
9481.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
9460.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
9457.0
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
9416.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
9412.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
9394.3
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
9382.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
9369.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
9359.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
9310.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
9309.5
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
9294.0
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
9265.3
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
9248.4
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
9245.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
9233.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
9231.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
9229.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
9226.9
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
9174.8
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
9170.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
9168.2
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
9158.8
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
9145.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
9135.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
9131.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
9130.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
9116.8
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
9116.3
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
9106.7
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
9074.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
9069.0
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
9053.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
9051.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
9018.0
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
9003.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
8999.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
8970.6
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
8965.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
8960.7
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
8959.1
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
8933.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
8904.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
8879.7
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
8819.2
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
8816.7
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
8799.2
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
8795.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
8780.0
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
8777.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
8751.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
8750.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
8744.7
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
8730.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
8682.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
8676.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
8675.7
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
8675.5
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
8667.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
8655.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
8653.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
8653.1
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
8639.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
8636.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
8634.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
8625.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
8624.5
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
8611.0
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
8582.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
8550.0
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
8545.7
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
8539.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
8515.0
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
8506.3
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
8500.8
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
8495.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
8490.0
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
8484.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
8483.8
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
8473.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
8470.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
8458.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
8455.2
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
8439.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
8437.3
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
8436.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
8410.4
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
8404.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
8399.3
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
8396.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
8395.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
8382.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
8382.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
8364.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
8355.1
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
8321.1
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
8298.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
8296.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
8293.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
8288.7
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
8285.6
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
8282.0
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
8275.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
8264.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
8240.3
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
8239.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
8233.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
8221.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
8218.7
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
8211.6
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
8180.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
8152.5
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
8131.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
8129.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
8110.0
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
8037.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
8035.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
8031.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
8028.7
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
8027.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
8014.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
7989.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
7989.1
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
7966.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
7956.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
7953.5
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
7952.9
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
7947.4
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
7946.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
7943.8
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
7922.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
7904.7
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
7898.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
7895.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
7885.9
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
7879.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
7844.8
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
7838.9
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
7808.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
7803.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
7797.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
7793.6
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
7786.3
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
7761.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
7737.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
7729.3
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
7725.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
7711.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
7710.7
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
7708.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
7703.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
7677.3
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
7669.0
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
7657.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
7654.6
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
7631.5
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
7616.6
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
7605.6
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
7579.3
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
7534.7
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
7523.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
7497.1
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
7492.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
7470.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
7457.6
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
7456.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
7438.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
7422.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
7421.3
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
7399.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
7384.4
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
7381.0
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
7378.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
7373.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
7372.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
7369.3
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
7353.6
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
7346.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
7308.3
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
7291.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
7264.9
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
7239.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
7237.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
7224.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
7193.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
7188.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
7162.4
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
7149.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
7145.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
7141.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
7126.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
7086.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
7074.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
7068.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
7064.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
7036.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
7029.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
7025.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
7013.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
7011.2
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
6995.7
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
6994.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
6977.5
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
6957.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
6941.3
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
6926.4
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6901.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
6899.1
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
6895.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
6887.8
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
6868.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
6857.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6851.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
6836.8
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
6828.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
6778.2
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
6768.9
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
6763.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
6736.4
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
6734.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
6733.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
6733.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
6705.0
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
6679.4
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
6677.5
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
6667.8
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
6666.0
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
6633.9
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
6611.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
6588.9
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
6584.6
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
6573.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
6565.8
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
6556.3
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
6549.0
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
6548.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
6548.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
6538.4
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
6520.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
6515.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
6513.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
6501.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
6500.0
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
6498.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
6491.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
6469.3
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
6461.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
6457.3
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
6449.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
6436.2
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
6421.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
6411.3
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
6407.3
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
6393.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
6373.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
6365.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
6358.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
6322.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
6287.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
6273.9
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
6263.2
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
6235.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
6220.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
6213.5
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
6213.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
6197.8
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
6102.7
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
6083.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
6054.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
6047.0
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
6037.3
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
6021.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
6021.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
5987.0
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
5963.3
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
5957.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
5956.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
5933.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
5925.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
5889.0
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
5886.1
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5883.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
5870.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5827.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
5788.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
5769.2
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
5738.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
5732.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
5705.4
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
5699.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
5679.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
5678.8
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
5671.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
5641.1
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
5626.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
5606.5
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
5602.0
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
5596.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
5576.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
5561.1
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
5506.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
5453.9
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
5445.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
5420.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
5404.2
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
5398.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
5370.5
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
5333.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
5283.0
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
5275.7
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
5264.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
5259.0
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
5248.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
5189.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
5091.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
5087.7
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
5062.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
5027.9
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5024.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
4993.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
4982.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
4960.4
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
4927.0
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
4915.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
4914.8
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
4913.6
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
4878.5
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4868.6
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
4847.6
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
4826.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
4799.5
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
4737.7
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4720.0
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
4664.7
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
4612.8
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
4591.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
4558.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
4462.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
4324.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
4310.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
4285.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
4284.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
4221.9
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
4198.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
4177.1
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
4146.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
4116.0
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
4000.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
3964.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
3933.8
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3898.5
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3878.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
3826.4
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
3813.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
3696.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3615.9
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3569.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
3384.2
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3247.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3228.4
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3170.8
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
3159.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
3159.5
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
3015.5
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
2801.4
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2789.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
2553.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2422.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
2367.6
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2208.5
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
2147.7
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPT1 is validated prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6580.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
12978.9
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
12619.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
11391.0
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
10695.3
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
10027.5
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9720.1
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
9430.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
9248.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
9010.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
8912.8
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
8778.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
8657.8
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
8517.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
8452.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
8261.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
8241.5
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
8203.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
8138.5
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
8078.4
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
8005.3
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
7960.2
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
7952.3
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
7897.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
7843.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
7781.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
7723.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
7620.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
7568.4
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
7489.6
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
7426.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
7380.4
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
7367.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
7323.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
7283.5
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
7182.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
7152.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
7049.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
7047.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
7022.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
6955.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6885.4
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
6879.6
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6840.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
6811.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
6602.7
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
6515.0
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
6460.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
6441.5
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
6438.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
6437.3
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
6428.7
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
6369.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
6337.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
6322.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
6266.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
6260.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
6226.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
6192.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
6168.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
6101.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
6091.8
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
6048.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
6037.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
6019.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
6005.3
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
5919.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
5772.1
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
5742.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5711.0
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
5692.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
5683.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
5577.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
5354.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
5295.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
5237.9
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
5235.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
5211.5
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
5151.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
5096.9
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
5058.7
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
4978.0
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
4867.3
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
4849.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4832.7
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
4631.3
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
4608.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
4489.1
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4302.7
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4276.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
4259.0
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
4189.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4133.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
4100.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4030.7
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3876.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3823.2
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
3205.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
2881.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2629.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 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.
TPT1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
4923.7
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
14501.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
11926.1
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
11581.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
11434.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
10520.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
10097.4
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
9872.4
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
9817.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
9305.1
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
9294.1
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
8901.0
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
8858.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
8509.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
8415.3
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
8272.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
8268.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
8064.4
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
7971.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
7843.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
7834.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
7756.0
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
7735.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
7674.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
7549.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
7544.5
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
7515.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
7474.3
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
7353.2
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
7337.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
7298.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
7218.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
7100.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
7083.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
7000.3
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
6961.7
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
6873.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
6785.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
6784.5
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
6753.8
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
6747.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
6700.2
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
6684.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
6682.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
6655.2
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
6652.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
6639.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
6514.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
6460.8
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
6448.0
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
6400.4
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
6371.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
6356.8
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
6311.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
6302.5
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
6282.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
6253.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
6210.3
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
6204.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
6202.0
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
6201.9
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
6192.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
6145.6
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
6142.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
6114.2
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
6113.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
6093.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
6057.8
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
6056.3
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
6045.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
6018.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
5952.1
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
5902.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5897.1
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
5894.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
5874.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
5856.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
5837.9
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
5835.8
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
5777.7
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5775.1
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
5734.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
5719.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
5714.5
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
5679.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
5655.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5648.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
5642.9
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
5601.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
5600.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
5540.6
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
5537.5
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
5528.5
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
5483.2
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
5460.7
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5453.6
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5446.6
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
5401.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
5394.3
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
5387.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
5386.7
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
5378.5
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
5363.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
5322.2
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
5315.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
5313.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
5277.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
5272.3
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
5270.3
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5257.6
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
5232.3
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
5226.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
5196.8
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5127.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
5123.7
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
5123.0
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
5111.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
5102.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
5090.2
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
5082.9
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
5069.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
5056.7
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
5045.1
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
5017.0
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
5010.1
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
4974.5
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4951.1
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4931.3
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
4924.1
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
4917.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
4915.5
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
4915.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
4832.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
4809.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4785.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
4774.8
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
4750.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4748.3
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
4742.1
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
4728.7
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
4718.3
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
4658.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
4657.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
4652.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4650.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
4638.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4636.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
4598.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
4596.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
4583.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4580.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
4560.3
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4548.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4540.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
4513.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
4506.4
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
4505.3
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
4484.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4465.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
4441.1
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
4429.6
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
4415.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
4394.4
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
4384.4
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
4380.3
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4360.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
4327.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
4318.8
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4299.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
4294.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
4293.8
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
4264.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
4254.5
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
4245.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
4205.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
4147.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
4138.1
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
4099.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
4079.7
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
4076.2
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
4038.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
4023.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
4015.3
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
3969.8
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
3956.6
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3955.2
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3953.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
3948.2
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
3942.6
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
3938.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
3936.6
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3930.5
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3917.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3894.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
3888.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3855.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
3854.9
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
3844.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
3814.6
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
3810.3
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3793.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
3791.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
3755.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
3755.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
3726.6
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3718.9
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
3702.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
3682.7
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
3674.5
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
3657.8
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
3655.0
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
3645.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
3639.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
3624.2
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
3616.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
3616.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3614.5
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3604.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
3597.4
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
3591.2
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
3581.7
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
3568.4
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
3567.2
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
3549.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
3538.8
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
3469.7
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
3460.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3443.9
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
3408.9
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3386.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3373.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
3350.2
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3346.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3292.6
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
3280.3
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
3234.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3202.1
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
3185.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
3184.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
3173.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3142.9
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
3126.2
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
3104.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
3082.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
3021.7
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
3006.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2983.9
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
2948.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
2873.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
2848.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2848.0
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2815.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2807.6
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
2803.5
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
2791.7
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
2625.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2606.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2600.0
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2551.1
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
2537.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2530.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
2452.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2441.8
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
2405.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
2176.1
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
2145.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2136.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
2095.1
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
2024.3
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2023.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1956.7
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1804.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
1794.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1760.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1744.1
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1726.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1723.0
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
1537.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1510.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1478.2
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
1370.6
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
992.4
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
983.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0081880003
Tumor
0.7
CPT0088550004
Tumor
0.6
CPT0021240003
Tumor
0.6
CPT0025050003
Tumor
0.6
CPT0023350003
Tumor
0.6
CPT0084560003
Tumor
0.6
CPT0076330003
Tumor
0.5
CPT0000640003
Tumor
0.5
CPT0012280003
Tumor
0.5
CPT0012550003
Tumor
0.5
CPT0001540009
Tumor
0.5
CPT0017410003
Tumor
0.5
CPT0014160003
Tumor
0.5
CPT0079410003
Tumor
0.5
CPT0001500009
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0012670003
Tumor
0.4
CPT0014450004
Tumor
0.4
CPT0077110003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0069000003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0086030003
Tumor
0.4
CPT0088480003
Tumor
0.4
CPT0012080003
Tumor
0.4
CPT0024670003
Tumor
0.4
CPT0065690003
Tumor
0.4
CPT0011410003
Tumor
0.4
CPT0017850003
Tumor
0.4
CPT0015810003
Tumor
0.4
CPT0001260009
Tumor
0.3
CPT0092290003
Tumor
0.3
CPT0075130003
Tumor
0.3
CPT0065870003
Tumor
0.3
CPT0007860003
Tumor
0.3
CPT0079380003
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0066480003
Tumor
0.3
CPT0077310003
Tumor
0.3
CPT0000870016
Tumor
0.3
CPT0063630003
Tumor
0.3
CPT0065810003
Tumor
0.3
CPT0006630003
Tumor
0.3
CPT0011240003
Tumor
0.3
CPT0012900004
Tumor
0.3
CPT0007320003
Tumor
0.3
CPT0009060003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0010160003
Tumor
0.2
CPT0079270003
Tumor
0.2
CPT0006440003
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0088970003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0065430003
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0078510003
Tumor
0.2
CPT0092730003
Tumor
0.2
CPT0015730003
Tumor
0.2
CPT0065750003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0066470004
Tumor
0.2
CPT0089460004
Tumor
0.2
CPT0087040003
Tumor
0.2
CPT0075560003
Tumor
0.1
CPT0077490003
Tumor
0.1
CPT0010110003
Tumor
0.1
CPT0078800003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0078830003
Tumor
0.1
CPT0006900003
Tumor
0.1
CPT0081600003
Tumor
0.1
CPT0001220008
Tumor
0.1
CPT0078990003
Tumor
0.1
CPT0001180009
Tumor
0.1
CPT0065930003
Tumor
0.1
CPT0020120003
Tumor
0.1
CPT0078530001
Normal
0.1
CPT0086360003
Tumor
0.1
CPT0014370004
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0001340003
Tumor
0.1
CPT0092790003
Tumor
0.1
CPT0064370003
Tumor
0.1
CPT0084590001
Normal
0.1
CPT0075720003
Tumor
0.1
CPT0077320001
Normal
0.1
CPT0079230003
Tumor
0.1
CPT0019130003
Tumor
0.1
CPT0002350011
Tumor
0.1
CPT0088760003
Tumor
0.1
CPT0088690003
Tumor
0.0
CPT0012180003
Tumor
0.0
CPT0088630003
Tumor
0.0
CPT0079180003
Tumor
0.0
CPT0079480003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0014470001
Normal
0.0
CPT0025060001
Normal
0.0
CPT0015910003
Tumor
0.0
CPT0024680001
Normal
0.0
CPT0025350003
Tumor
0.0
CPT0018250001
Normal
0.0
CPT0066430001
Normal
0.0
CPT0085670003
Tumor
0.0
CPT0086870003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0025580004
Tumor
0.0
CPT0000890001
Normal
0.0
CPT0078930003
Tumor
0.0
CPT0017450001
Normal
0.0
CPT0026420001
Normal
0.0
CPT0025110003
Tumor
-0.1
CPT0010120001
Normal
-0.1
CPT0012920003
Normal
-0.1
CPT0025170003
Tumor
-0.1
CPT0020130001
Normal
-0.1
CPT0087050003
Normal
-0.1
CPT0075170001
Normal
-0.1
CPT0025610001
Normal
-0.1
CPT0075570001
Normal
-0.1
CPT0025880003
Tumor
-0.1
CPT0012570003
Normal
-0.1
CPT0076350001
Normal
-0.1
CPT0092740003
Normal
-0.1
CPT0063640001
Normal
-0.1
CPT0063320003
Tumor
-0.1
CPT0002270011
Tumor
-0.1
CPT0086820003
Tumor
-0.1
CPT0089040001
Normal
-0.1
CPT0086950003
Tumor
-0.1
CPT0023360001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0006950001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0009080003
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0012090003
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0001270001
Normal
-0.1
CPT0078840001
Normal
-0.1
CPT0023690003
Tumor
-0.2
CPT0009020003
Normal
-0.2
CPT0088780001
Normal
-0.2
CPT0013790003
Normal
-0.2
CPT0007470001
Normal
-0.2
CPT0081620001
Normal
-0.2
CPT0014130001
Normal
-0.2
CPT0082010001
Normal
-0.2
CPT0006530001
Normal
-0.2
CPT0065450001
Normal
-0.2
CPT0079300001
Normal
-0.2
CPT0088570001
Normal
-0.2
CPT0079510001
Normal
-0.2
CPT0086970003
Normal
-0.2
CPT0077500001
Normal
-0.2
CPT0020020001
Normal
-0.2
CPT0000660001
Normal
-0.2
CPT0069010001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0012640003
Normal
-0.2
CPT0078660003
Tumor
-0.2
CPT0069190001
Normal
-0.2
CPT0088710001
Normal
-0.2
CPT0006730001
Normal
-0.2
CPT0023710001
Normal
-0.2
CPT0063330001
Normal
-0.2
CPT0000790001
Normal
-0.2
CPT0078670001
Normal
-0.2
CPT0077140001
Normal
-0.2
CPT0086370003
Normal
-0.2
CPT0001350001
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0065820001
Normal
-0.3
CPT0001190001
Normal
-0.3
CPT0078940001
Normal
-0.3
CPT0002370001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0089480003
Normal
-0.3
CPT0001510001
Normal
-0.3
CPT0007870001
Normal
-0.3
CPT0001550001
Normal
-0.3
CPT0092800003
Normal
-0.3
CPT0025920001
Normal
-0.3
CPT0088500001
Normal
-0.3
CPT0086830003
Normal
-0.3
CPT0010170001
Normal
-0.3
CPT0001230001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0088640003
Normal
-0.4
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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
