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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.
RPLP2 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
1975.4
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
5347.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4963.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
4228.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
4159.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
4055.8
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
3179.7
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2903.8
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2901.9
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2822.1
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
2633.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
2586.4
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
2485.6
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2449.8
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2431.8
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2424.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
2379.3
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2356.6
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
2338.7
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
2328.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
2250.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2203.0
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2171.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2158.7
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
2104.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
2061.5
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1951.2
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1938.9
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
1876.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1871.2
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1852.5
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1836.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1790.8
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1766.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1762.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1749.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1747.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1722.2
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
1640.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1556.1
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1501.7
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
1499.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
1497.6
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
1464.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1447.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1442.5
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1417.4
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1367.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1254.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1250.5
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1236.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1219.2
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1211.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1176.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1164.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1098.6
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
1062.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
997.2
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
981.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
977.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
913.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
868.3
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
843.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
801.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 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.
RPLP2 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2594.1
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
32409.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
10784.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
6774.4
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
6197.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
6066.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
6017.1
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5510.4
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
5312.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
5218.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
5091.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
4846.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4833.3
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
4653.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4649.9
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4618.7
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4556.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4552.4
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4352.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4336.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4292.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4263.1
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4253.5
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4116.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
4098.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
4097.5
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4073.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4071.5
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
4067.3
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
4062.9
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
4060.2
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
4024.5
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3990.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3959.1
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3902.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3847.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3803.1
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
3753.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
3734.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
3733.5
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3729.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3682.5
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3644.2
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3637.8
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3624.9
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
3615.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3614.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
3611.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3601.8
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3601.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3595.1
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3594.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3580.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3577.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3556.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3546.2
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
3544.4
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3537.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3535.5
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3527.5
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3523.4
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3519.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3514.1
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3513.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3508.1
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
3503.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3499.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3486.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3480.3
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
3470.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3467.6
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3461.3
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3453.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3428.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3425.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3402.8
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3371.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3363.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3344.8
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3343.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3330.5
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3329.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3326.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3322.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3313.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3313.0
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3306.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3301.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3294.2
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
3272.1
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3271.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3260.2
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3255.0
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3213.6
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3205.2
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3204.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3204.2
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3203.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3197.6
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3196.4
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3189.1
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3186.0
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3165.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3156.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3123.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3121.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3096.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3092.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3087.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3066.4
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3060.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3053.1
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
3035.1
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
3027.6
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3023.3
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3022.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
3017.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3009.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3002.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
3001.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2999.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2983.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2982.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
2982.2
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2972.6
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2962.9
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2957.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2956.6
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2955.3
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
2951.4
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2932.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2930.4
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2927.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
2920.0
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2914.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2912.3
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2896.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2894.2
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2889.5
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2882.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2879.8
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2875.3
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2866.7
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2859.4
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2859.0
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2852.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
2848.3
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2844.1
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2822.5
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
2821.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2821.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2811.5
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2809.9
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2805.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2803.3
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2802.9
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
2792.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2788.8
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2781.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2779.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2777.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2773.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2771.4
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2754.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2753.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2749.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2741.8
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2740.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2736.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2732.7
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2730.0
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2729.3
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2729.2
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
2727.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2721.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2719.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2714.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2712.6
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2704.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2699.9
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2696.4
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2695.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2681.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2681.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2680.2
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2673.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2670.5
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2664.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2660.4
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2657.1
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2656.0
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2644.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
2644.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2644.2
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2639.6
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2638.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2637.2
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2635.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2634.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2629.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2618.6
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2618.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2615.8
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2613.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2613.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2613.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2608.0
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2607.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
2607.2
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2600.6
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2595.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2595.2
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2594.8
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2585.6
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2581.4
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2580.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2579.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2576.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2574.7
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2574.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2573.0
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2569.7
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2567.7
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
2562.7
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2558.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2556.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2554.5
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2551.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
2550.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2539.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2533.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2530.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2517.5
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2517.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2514.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2510.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2503.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2500.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2500.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
2497.9
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2481.3
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2481.1
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2480.9
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2479.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2477.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2477.5
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2476.0
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2467.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2465.2
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2464.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2463.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2456.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2437.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2426.1
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
2425.7
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2421.5
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2417.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2407.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2407.0
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2401.2
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2395.8
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2395.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2388.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2387.8
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2384.2
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2383.3
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2380.7
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2377.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2371.8
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2371.0
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2369.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2367.2
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2364.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2364.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2356.8
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2349.0
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2346.8
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2345.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2343.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2335.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2327.5
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2327.2
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2325.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2318.6
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2316.9
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
2315.8
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2306.3
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2302.1
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2299.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2297.8
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2295.6
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2294.8
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2286.5
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2286.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2284.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2279.9
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2274.7
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2272.3
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2272.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2272.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2269.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2263.3
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2263.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2263.1
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2260.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2257.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2255.5
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2254.9
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2254.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2250.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2250.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2246.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2243.6
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2243.1
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
2242.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2242.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2241.4
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2241.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2233.3
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2232.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2225.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2220.7
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2219.5
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2218.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2214.0
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2213.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
2209.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2208.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2203.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2194.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
2192.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2192.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2189.0
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2185.1
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2185.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2183.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2183.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2180.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2179.9
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2177.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2168.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2167.4
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2164.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2162.4
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2159.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2145.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2143.0
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2141.9
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2141.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2141.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2138.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2137.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2133.0
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2123.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2117.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2116.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2112.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2111.7
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2109.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2106.1
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2102.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2090.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2090.3
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2090.0
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2073.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2069.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2067.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2064.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2055.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2054.7
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2054.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2045.7
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2041.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2032.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2031.6
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
2028.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2028.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2026.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2015.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2014.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2013.2
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
2009.8
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2009.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2008.4
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1998.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1994.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1990.8
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1988.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1988.4
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1987.5
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1986.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1973.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1969.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1962.3
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
1959.9
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1954.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1943.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1942.1
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1935.3
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1933.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1924.4
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
1924.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
1921.5
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1914.6
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1913.6
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1910.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1899.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1898.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1898.1
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1898.1
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1895.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1893.5
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1887.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1876.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1868.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1863.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1861.1
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1856.3
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1855.9
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1855.2
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1850.5
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1842.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1840.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1840.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1837.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1830.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1830.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1825.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1819.7
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1810.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1806.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1797.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1794.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1793.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1790.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1789.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1784.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1775.7
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1771.9
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1771.2
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1762.7
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1762.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1758.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1751.9
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1732.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1730.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1727.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1709.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1705.1
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1693.5
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1693.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1691.8
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
1691.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1687.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1686.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1682.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1675.0
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1667.0
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1660.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1659.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1658.8
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1651.9
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1650.8
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1639.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1638.5
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1634.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1631.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1627.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1618.1
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1617.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1603.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1597.6
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1593.3
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1593.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1581.5
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1577.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
1557.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1545.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1530.5
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1524.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1521.3
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1495.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1489.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1489.1
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1489.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1487.8
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1483.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1471.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1470.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1465.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1459.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1455.5
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1411.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1382.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1381.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1377.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1358.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1352.1
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1349.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1343.4
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1330.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1306.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1305.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1299.1
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1268.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1225.6
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1221.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1220.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1210.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1202.0
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1171.2
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1171.0
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1168.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1156.2
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1073.7
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1036.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
928.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
913.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
755.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
702.7
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
367.5
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPLP2 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1890.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
5975.1
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4110.6
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3784.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3720.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3522.6
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3348.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
3164.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2814.6
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2755.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2749.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2739.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2646.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2482.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2448.0
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2442.3
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
2413.3
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2350.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
2316.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
2316.2
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2257.3
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
2231.4
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2228.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2227.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2199.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2188.3
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2170.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2135.8
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2110.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2098.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2069.6
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2038.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2021.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2016.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2009.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1937.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1933.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1913.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1911.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1909.7
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1909.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1901.4
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1868.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1844.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1841.6
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1840.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1836.9
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1830.2
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1827.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1799.5
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1767.5
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1760.0
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1741.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1698.3
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1694.5
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1688.1
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1686.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1685.9
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1670.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1628.1
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1624.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1614.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1577.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1556.1
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1540.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1530.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1526.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1511.6
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1500.0
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1499.7
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1460.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1459.1
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1449.2
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1448.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1447.6
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1436.6
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1423.9
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1419.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1418.5
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1403.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1400.3
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1393.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1393.1
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1361.2
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1358.5
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1358.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1340.1
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1335.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1304.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1263.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1262.2
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1208.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1146.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1126.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1063.8
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1000.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
950.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
857.1
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
728.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
599.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPLP2 is potential prognostic, high expression is unfavorable 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
2488.3
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
9175.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
8489.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6984.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
6907.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
6876.5
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
6603.6
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
5923.2
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
5603.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5562.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
5257.9
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
5142.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
5067.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4777.8
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
4756.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4741.2
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
4517.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
4506.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
4336.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
4330.9
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4229.6
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4223.9
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
4141.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
3930.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
3811.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3796.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3794.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
3789.7
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3784.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3698.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
3694.1
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3688.8
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3656.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
3647.2
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3598.3
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3486.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3482.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3470.6
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
3466.1
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
3431.2
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
3408.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
3372.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3359.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
3355.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
3354.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3350.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3302.9
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3290.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3275.2
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
3251.2
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3232.5
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
3200.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
3179.6
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3167.4
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
3155.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
3141.7
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
3123.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3120.6
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3116.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3095.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3095.4
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3074.6
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
3061.3
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3046.9
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3038.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3029.5
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
3011.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2990.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2971.7
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2970.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
2958.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2951.4
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2934.1
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2919.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
2908.1
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
2904.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
2890.3
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2890.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2883.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2849.6
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2830.6
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2789.2
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2785.2
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
2769.0
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2764.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
2751.9
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2745.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2743.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2738.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2731.5
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2728.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2722.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2664.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2663.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2653.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2632.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2631.4
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2619.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2618.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2600.1
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2597.0
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2538.2
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2533.5
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2533.2
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
2531.8
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2517.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2493.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2469.1
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2461.6
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
2452.5
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2452.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2438.9
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2427.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2425.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2423.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2423.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2422.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2406.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2399.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2397.1
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
2395.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2378.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2374.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
2365.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
2363.2
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2357.3
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2343.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2333.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2319.1
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2301.9
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2292.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2291.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2288.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2272.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2269.7
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2260.3
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2254.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2254.3
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
2251.5
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
2240.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2237.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2233.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
2228.6
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2216.4
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2215.5
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
2214.0
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2211.0
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2207.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2207.1
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2201.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2188.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2180.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2169.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2168.7
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2157.7
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
2148.3
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2146.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2137.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2132.4
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2130.4
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2130.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2129.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2125.2
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2119.0
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2114.6
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
2111.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2102.3
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2098.8
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2079.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2077.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2065.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
2064.8
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2054.8
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2054.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2038.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2031.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2031.1
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2013.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2009.4
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2008.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1990.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1986.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1985.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1984.1
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1979.6
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1968.9
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1968.1
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1967.9
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1964.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1962.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1959.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1954.2
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1947.9
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1944.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1930.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1927.8
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
1911.5
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1901.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1897.6
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
1895.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1881.4
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1860.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1818.4
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1812.8
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1793.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1790.2
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1778.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1777.8
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1775.9
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1762.5
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1759.1
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1758.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1748.0
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1734.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1730.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1703.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1702.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1694.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1683.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1676.2
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1669.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1668.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1656.1
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1652.3
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1647.2
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1644.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1637.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1629.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1599.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1596.4
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1591.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1590.7
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1581.2
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1576.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1572.9
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1572.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1570.4
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1566.4
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1560.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1559.7
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1532.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1508.2
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1502.1
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1493.9
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1478.7
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1478.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1474.9
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
1464.7
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
1462.7
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1451.0
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1439.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1433.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1432.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1405.3
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1383.3
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1362.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1351.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
1342.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1325.3
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1324.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1316.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1306.4
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1304.7
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1288.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1249.2
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1227.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1179.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1162.3
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1143.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1139.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1125.6
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1121.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1062.9
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
1048.8
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1005.3
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
998.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
841.3
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
718.7
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
711.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
697.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
695.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
475.6
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
298.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0088550004
Tumor
0.7
CPT0012550003
Tumor
0.6
CPT0017850003
Tumor
0.6
CPT0012180003
Tumor
0.5
CPT0079410003
Tumor
0.5
CPT0017410003
Tumor
0.5
CPT0081880003
Tumor
0.5
CPT0001340003
Tumor
0.4
CPT0023350003
Tumor
0.4
CPT0086950003
Tumor
0.4
CPT0069160003
Tumor
0.4
CPT0009000003
Tumor
0.3
CPT0088760003
Tumor
0.3
CPT0089460004
Tumor
0.3
CPT0075560003
Tumor
0.3
CPT0010160003
Tumor
0.3
CPT0012900004
Tumor
0.3
CPT0065930003
Tumor
0.3
CPT0015730003
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0001180009
Tumor
0.3
CPT0084560003
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0024680001
Normal
0.3
CPT0088970003
Tumor
0.3
CPT0001500009
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0086030003
Tumor
0.3
CPT0078800003
Tumor
0.2
CPT0014450004
Tumor
0.2
CPT0077310003
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0075130003
Tumor
0.2
CPT0076330003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0025290003
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0002350011
Tumor
0.2
CPT0078510003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0092730003
Tumor
0.2
CPT0021240003
Tumor
0.2
CPT0014160003
Tumor
0.2
CPT0014470001
Normal
0.2
CPT0006440003
Tumor
0.2
CPT0012670003
Tumor
0.2
CPT0077490003
Tumor
0.2
CPT0019990003
Tumor
0.1
CPT0025170003
Tumor
0.1
CPT0063630003
Tumor
0.1
CPT0012080003
Tumor
0.1
CPT0025050003
Tumor
0.1
CPT0014370004
Tumor
0.1
CPT0079380003
Tumor
0.1
CPT0012280003
Tumor
0.1
CPT0092160003
Tumor
0.1
CPT0071150004
Tumor
0.1
CPT0006630003
Tumor
0.1
CPT0079510001
Normal
0.1
CPT0079180003
Tumor
0.1
CPT0023690003
Tumor
0.1
CPT0001540009
Tumor
0.1
CPT0024670003
Tumor
0.1
CPT0089040001
Normal
0.1
CPT0017450001
Normal
0.1
CPT0076350001
Normal
0.1
CPT0012920003
Normal
0.1
CPT0065750003
Tumor
0.1
CPT0011240003
Tumor
0.1
CPT0006900003
Tumor
0.1
CPT0075570001
Normal
0.1
CPT0025880003
Tumor
0.1
CPT0069000003
Tumor
0.1
CPT0078930003
Tumor
0.1
CPT0001260009
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0001270001
Normal
0.1
CPT0012370003
Tumor
0.0
CPT0066480003
Tumor
0.0
CPT0078530001
Normal
0.0
CPT0082010001
Normal
0.0
CPT0025230003
Tumor
0.0
CPT0089020003
Tumor
0.0
CPT0023360001
Normal
0.0
CPT0009060003
Tumor
0.0
CPT0010110003
Tumor
0.0
CPT0081600003
Tumor
0.0
CPT0065810003
Tumor
0.0
CPT0078830003
Tumor
0.0
CPT0023710001
Normal
0.0
CPT0078990003
Tumor
0.0
CPT0012570003
Normal
0.0
CPT0001190001
Normal
0.0
CPT0063330001
Normal
0.0
CPT0086890003
Normal
0.0
CPT0014130001
Normal
0.0
CPT0002270011
Tumor
0.0
CPT0064370003
Tumor
0.0
CPT0025060001
Normal
0.0
CPT0088570001
Normal
0.0
CPT0013790003
Normal
0.0
CPT0081990003
Tumor
0.0
CPT0079230003
Tumor
0.0
CPT0092790003
Tumor
0.0
CPT0075720003
Tumor
0.0
CPT0088690003
Tumor
0.0
CPT0009080003
Normal
0.0
CPT0066430001
Normal
0.0
CPT0079480003
Tumor
0.0
CPT0012640003
Normal
0.0
CPT0077500001
Normal
0.0
CPT0088630003
Tumor
0.0
CPT0025580004
Tumor
0.0
CPT0069190001
Normal
0.0
CPT0088480003
Tumor
0.0
CPT0006530001
Normal
0.0
CPT0026420001
Normal
0.0
CPT0085670003
Tumor
0.0
CPT0086360003
Tumor
0.0
CPT0025610001
Normal
0.0
CPT0010120001
Normal
0.0
CPT0064400001
Normal
0.0
CPT0018250001
Normal
-0.1
CPT0066520001
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0065690003
Tumor
-0.1
CPT0011410003
Tumor
-0.1
CPT0079430001
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0065450001
Normal
-0.1
CPT0079300001
Normal
-0.1
CPT0014350001
Normal
-0.1
CPT0020120003
Tumor
-0.1
CPT0087040003
Tumor
-0.1
CPT0015810003
Tumor
-0.1
CPT0012090003
Normal
-0.1
CPT0089480003
Normal
-0.1
CPT0065820001
Normal
-0.1
CPT0000660001
Normal
-0.1
CPT0092310003
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0020020001
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0001510001
Normal
-0.1
CPT0086970003
Normal
-0.1
CPT0088900003
Tumor
-0.1
CPT0063320003
Tumor
-0.1
CPT0092740003
Normal
-0.1
CPT0092800003
Normal
-0.1
CPT0019160001
Normal
-0.1
CPT0086370003
Normal
-0.1
CPT0069010001
Normal
-0.1
CPT0015910003
Tumor
-0.1
CPT0001350001
Normal
-0.1
CPT0007320003
Tumor
-0.1
CPT0000790001
Normal
-0.1
CPT0012770003
Normal
-0.1
CPT0000870016
Tumor
-0.1
CPT0092290003
Tumor
-0.1
CPT0006950001
Normal
-0.1
CPT0010170001
Normal
-0.1
CPT0066470004
Tumor
-0.1
CPT0025110003
Tumor
-0.1
CPT0087050003
Normal
-0.1
CPT0001550001
Normal
-0.1
CPT0007860003
Tumor
-0.2
CPT0020130001
Normal
-0.2
CPT0078940001
Normal
-0.2
CPT0000890001
Normal
-0.2
CPT0063640001
Normal
-0.2
CPT0077140001
Normal
-0.2
CPT0088780001
Normal
-0.2
CPT0019130003
Tumor
-0.2
CPT0088640003
Normal
-0.2
CPT0086870003
Tumor
-0.2
CPT0001230001
Normal
-0.2
CPT0025920001
Normal
-0.2
CPT0088710001
Normal
-0.2
CPT0078840001
Normal
-0.2
CPT0000640003
Tumor
-0.2
CPT0079270003
Tumor
-0.2
CPT0001220008
Tumor
-0.2
CPT0078670001
Normal
-0.2
CPT0025350003
Tumor
-0.2
CPT0007470001
Normal
-0.2
CPT0007870001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0078660003
Tumor
-0.3
CPT0006730001
Normal
-0.3
CPT0086820003
Tumor
-0.3
CPT0088500001
Normal
-0.3
CPT0079000001
Normal
-0.3
CPT0086830003
Normal
-0.3
CPT0065870003
Tumor
-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
