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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.
RPL31 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
1082.2
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
12405.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2584.2
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2269.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
1911.6
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1893.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1686.9
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1678.7
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1650.9
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1525.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1425.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1408.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1309.7
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1309.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1289.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1193.6
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1150.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1109.5
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1101.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1099.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1082.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1080.8
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1079.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1060.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1028.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1014.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
998.1
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
988.1
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
983.3
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
978.3
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
971.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
930.5
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
924.9
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
924.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
885.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
844.7
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
844.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
812.4
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
794.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
696.5
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
690.9
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
647.8
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
631.4
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
629.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
628.8
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
567.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
566.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
530.6
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
499.1
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
450.9
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
416.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
367.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
366.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
364.4
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
361.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
330.5
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
322.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
322.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
313.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
310.6
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
265.6
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
245.3
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
230.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
158.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL31 is potential prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
3123.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
12198.7
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
7476.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6933.1
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
6454.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
6358.9
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
6237.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
6111.2
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6025.3
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5966.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
5953.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
5900.2
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
5768.5
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
5730.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
5682.9
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
5680.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5660.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
5649.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
5546.9
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
5520.3
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5505.8
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
5475.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
5420.2
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
5406.2
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
5389.3
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
5376.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
5269.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
5239.2
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
5165.4
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5165.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
5157.9
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
5150.8
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
5123.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
5005.3
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4976.6
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4931.8
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4915.8
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4828.5
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4828.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
4802.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4798.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4779.3
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4750.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
4747.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4736.9
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4716.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
4715.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4660.8
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4659.1
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4581.0
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
4575.7
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
4563.2
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4532.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4494.6
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4480.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
4454.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4434.4
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
4427.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4426.3
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4419.2
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
4374.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4370.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
4367.4
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4367.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
4352.9
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4339.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4338.8
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
4328.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
4325.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
4314.9
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4295.4
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
4277.7
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4264.3
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
4264.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4242.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
4234.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
4219.9
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4215.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4215.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4188.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
4173.3
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
4163.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
4129.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4122.8
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
4118.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4116.7
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4097.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
4088.6
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4084.2
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
4074.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4070.8
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4061.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4049.7
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
4049.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4040.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
4035.8
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
4032.7
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
4017.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3998.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3984.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3977.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
3975.3
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3961.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3942.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
3931.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3916.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3913.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3912.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3904.0
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3899.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3896.2
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3896.0
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3873.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3847.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3841.6
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3841.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3838.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3834.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3821.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3815.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
3809.5
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3807.1
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
3796.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3792.4
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3790.5
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3787.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3778.7
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3769.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3768.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3767.5
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3766.2
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3758.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3727.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3709.7
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3708.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3692.7
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3677.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
3677.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3676.1
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3671.8
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3664.0
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3655.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3643.1
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3630.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3620.2
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3614.0
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3611.6
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3605.1
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3600.1
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3598.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3578.8
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3564.6
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3563.5
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3557.7
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3536.6
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
3527.4
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3501.1
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3500.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
3493.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3487.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3486.4
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3482.3
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3478.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
3470.4
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3457.9
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3457.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3454.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3451.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3450.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3449.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3445.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3428.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
3424.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3411.7
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3408.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
3400.5
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3392.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3388.2
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3385.6
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
3379.4
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
3366.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3355.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3348.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3348.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3344.5
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3341.7
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3334.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
3333.5
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
3328.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3315.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
3304.3
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3303.2
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3293.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3285.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3283.1
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3282.6
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3282.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3281.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3278.9
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
3278.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3256.5
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
3243.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
3232.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3229.5
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
3227.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3227.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3226.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
3225.9
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
3222.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
3215.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3212.2
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3206.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3204.2
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3199.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
3197.8
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3196.5
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3196.0
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
3188.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3187.7
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3185.3
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3180.8
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3180.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3179.1
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
3171.4
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3171.1
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3168.0
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3166.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3161.6
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3157.0
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3151.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3149.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3141.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
3136.7
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3135.5
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
3133.8
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3131.7
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
3131.1
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
3128.9
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3128.7
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
3128.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
3123.4
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3122.9
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3122.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3111.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
3104.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
3103.8
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3102.5
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3100.4
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
3100.4
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
3097.0
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3058.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3054.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
3053.4
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3036.8
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3030.6
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
3029.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3025.4
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3017.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2999.5
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2998.8
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
2998.0
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2997.1
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2993.6
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2983.5
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2976.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2971.9
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2970.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2970.2
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2967.1
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2951.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2945.9
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2938.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2937.5
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2935.5
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2933.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2928.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2926.2
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2925.3
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2922.3
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2920.6
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2913.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2905.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2900.8
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2900.3
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2896.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2895.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2892.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2886.6
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2884.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2884.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2881.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2877.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2877.1
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2875.6
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2872.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2870.9
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
2863.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2857.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2855.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2844.1
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
2838.7
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2836.1
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2835.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2826.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2824.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2793.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2791.5
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2788.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2787.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2783.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2783.3
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2773.4
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2768.3
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2763.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
2751.8
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2748.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2739.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2732.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2730.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2726.8
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2719.2
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2718.0
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2717.3
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2717.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2716.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2713.8
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2712.8
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2711.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2692.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2691.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2691.6
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2691.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2680.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2677.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2673.1
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2672.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2672.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2671.5
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2660.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2643.9
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2642.9
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2639.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2634.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2632.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2629.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2626.6
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2622.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2618.6
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2600.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2599.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2595.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2595.2
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2582.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2568.5
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2559.1
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2552.9
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
2552.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2550.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2547.9
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2547.8
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2544.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2529.1
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2522.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2522.0
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2507.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2497.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2492.8
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2490.5
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2480.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2468.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2467.3
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2461.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2457.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2457.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2456.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2452.8
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2439.2
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2436.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
2436.2
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2430.4
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2427.3
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2421.3
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2417.5
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2412.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2405.3
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2401.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2396.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2384.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2379.8
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2373.3
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
2372.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2356.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2354.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2350.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2345.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2345.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2340.7
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2333.9
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2332.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2331.8
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2321.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2321.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2321.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2321.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2318.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2316.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2313.8
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2313.7
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2302.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2283.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2281.6
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2277.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2263.5
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2260.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
2253.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2245.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2240.6
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
2231.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2226.1
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2222.8
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2216.2
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2210.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2186.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2183.9
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2181.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2178.7
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2177.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2168.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2167.6
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2165.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2153.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2140.6
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2131.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
2123.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2117.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2111.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2104.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2101.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2100.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2092.3
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2083.3
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2078.3
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2077.7
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2073.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2073.0
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2043.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2032.3
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2030.4
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
2016.4
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1986.5
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1984.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1978.8
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1968.0
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1957.4
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1955.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1950.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1938.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1930.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1911.3
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1901.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1892.5
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1891.9
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1891.8
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1887.9
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1887.4
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1840.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1836.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1830.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1825.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1814.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1811.7
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1798.9
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1796.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1778.6
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1766.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1759.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1737.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1732.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1731.7
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1729.2
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1701.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1698.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1698.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1674.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1671.1
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1638.8
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1633.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1608.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1605.0
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1584.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1573.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1566.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1559.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1554.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1527.1
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1517.9
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1503.7
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1493.4
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1431.9
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1426.3
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1413.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1392.1
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1373.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1290.6
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1285.7
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1249.5
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1236.8
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1217.2
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1217.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1207.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1199.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1173.1
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1170.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1089.6
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1058.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1043.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1031.4
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1030.1
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
738.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
711.3
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
660.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 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.
RPL31 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
3253.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
6906.8
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
6622.9
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6460.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
5886.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5408.4
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
5305.5
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5273.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
5210.9
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
5078.8
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4786.2
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
4698.5
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4667.6
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
4554.5
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4452.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4428.1
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
4411.7
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
4370.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
4112.2
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3945.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3879.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3859.4
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3853.3
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3849.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3813.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3795.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3794.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3766.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3676.8
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3668.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3656.1
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3618.4
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3504.4
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3445.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3406.6
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
3336.4
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
3330.4
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
3290.3
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
3212.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3203.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
3193.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3175.3
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3141.3
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
3125.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
3115.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3108.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3099.0
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
3094.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3060.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3051.0
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3050.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3017.8
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
3001.5
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2995.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2945.8
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2939.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2905.1
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2878.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2859.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2843.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2816.4
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2810.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2785.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2770.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2765.4
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2765.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2753.7
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2744.4
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2719.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2716.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2706.2
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2703.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2702.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2646.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2607.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2572.1
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2558.8
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2545.7
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2534.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2534.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2531.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2506.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2455.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2452.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2418.1
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2236.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2167.2
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2160.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
2158.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2143.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2079.6
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2045.7
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1973.7
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1959.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1911.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1904.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1875.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1788.3
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1406.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1195.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL31 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
1908.6
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
7896.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6172.7
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
5922.4
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5435.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
5284.9
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
5114.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
5105.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4984.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4890.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
4882.4
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4445.6
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
4370.5
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4238.0
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4080.4
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3898.3
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3860.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3814.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3745.1
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3477.7
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3427.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
3383.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3381.8
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
3307.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3304.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3269.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
3264.5
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3262.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3224.5
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
3214.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3055.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3036.4
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3033.0
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
3019.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3013.3
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3010.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2984.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
2983.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2976.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2929.5
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2917.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
2904.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2893.4
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2868.9
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2828.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2811.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2800.7
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2772.1
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2766.6
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2765.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2761.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
2750.1
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2711.8
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2696.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2693.7
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2653.3
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2649.0
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2627.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2611.5
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2604.1
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2573.1
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2570.5
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2569.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2566.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2539.0
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2538.9
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2523.2
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2457.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2436.3
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2426.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2400.7
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2400.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2393.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2391.9
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2368.4
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2352.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2350.5
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2349.3
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2339.6
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2330.3
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2329.2
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2327.8
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2324.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2320.8
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2311.4
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2307.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2298.4
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2288.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2286.4
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2286.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2270.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2228.3
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2217.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2217.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2215.5
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2206.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2188.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2186.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2183.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2182.1
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2174.4
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2172.8
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2169.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2151.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2144.4
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2131.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2120.8
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2120.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2114.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2076.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2068.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2068.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2056.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2056.1
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2056.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2049.7
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2047.4
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2041.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2036.6
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
2016.4
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
2009.3
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2008.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2003.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1997.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1990.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1989.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1984.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1971.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
1961.7
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1951.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1946.7
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1942.4
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1937.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1909.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1897.9
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1884.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1884.2
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1879.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1874.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1866.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1863.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1862.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1861.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1854.8
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1849.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1839.0
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1827.1
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1824.0
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1815.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1812.8
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1794.2
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1784.8
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1780.1
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1774.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1774.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1772.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1770.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1765.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1764.8
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1757.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1753.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1735.1
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1731.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1731.1
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1730.7
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1702.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1700.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1688.3
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1666.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1640.7
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1638.3
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1624.5
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1618.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1613.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1595.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1557.3
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1554.5
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1548.7
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1540.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1507.5
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1504.6
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1489.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1457.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1450.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1421.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1419.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1418.6
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1400.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1398.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1377.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1351.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1320.7
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1316.0
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1307.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1294.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1274.1
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1271.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1260.1
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1260.1
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1256.7
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1206.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1201.2
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
1196.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1191.9
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1176.9
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1171.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1170.3
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1154.6
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1139.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1110.8
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1109.6
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1081.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1051.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1017.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1012.8
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1000.9
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
996.7
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
996.6
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
956.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
952.6
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
940.6
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
881.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
870.0
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
849.6
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
837.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
775.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
765.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
745.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
726.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
718.8
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
704.6
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
701.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
695.0
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
694.4
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
683.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
674.5
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
671.3
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
667.0
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
666.7
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
651.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
648.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
646.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
642.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
641.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
637.4
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
635.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
623.2
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
619.3
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
615.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
591.8
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
577.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
566.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
562.3
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
556.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
547.8
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
543.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
540.8
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
534.5
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
508.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
502.9
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
500.2
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
492.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
484.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
483.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
477.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
443.4
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
435.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
430.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
430.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
424.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
417.3
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
416.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
414.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
413.4
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
405.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
404.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
369.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
323.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
294.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
233.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
232.6
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
167.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
93.6
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
1.1
CPT0088550004
Tumor
0.9
CPT0002350011
Tumor
0.8
CPT0017850003
Tumor
0.8
CPT0065930003
Tumor
0.7
CPT0084560003
Tumor
0.7
CPT0011410003
Tumor
0.6
CPT0088970003
Tumor
0.5
CPT0092730003
Tumor
0.5
CPT0012550003
Tumor
0.5
CPT0081990003
Tumor
0.5
CPT0089460004
Tumor
0.4
CPT0001180009
Tumor
0.4
CPT0012180003
Tumor
0.4
CPT0002270011
Tumor
0.4
CPT0086030003
Tumor
0.4
CPT0088760003
Tumor
0.4
CPT0075130003
Tumor
0.4
CPT0063630003
Tumor
0.4
CPT0084590001
Normal
0.4
CPT0076330003
Tumor
0.4
CPT0078830003
Tumor
0.3
CPT0088690003
Tumor
0.3
CPT0066470004
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0069160003
Tumor
0.3
CPT0009000003
Tumor
0.3
CPT0086820003
Tumor
0.3
CPT0086950003
Tumor
0.3
CPT0025230003
Tumor
0.3
CPT0065430003
Tumor
0.3
CPT0079410003
Tumor
0.3
CPT0025110003
Tumor
0.3
CPT0014450004
Tumor
0.3
CPT0077320001
Normal
0.3
CPT0024670003
Tumor
0.2
CPT0081600003
Tumor
0.2
CPT0092290003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0088480003
Tumor
0.2
CPT0079510001
Normal
0.2
CPT0001260009
Tumor
0.2
CPT0026410003
Tumor
0.2
CPT0077110003
Tumor
0.2
CPT0024680001
Normal
0.2
CPT0015810003
Tumor
0.2
CPT0069000003
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0081880003
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0001540009
Tumor
0.2
CPT0025170003
Tumor
0.2
CPT0025050003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0025290003
Tumor
0.2
CPT0023350003
Tumor
0.2
CPT0065750003
Tumor
0.2
CPT0001270001
Normal
0.2
CPT0082010001
Normal
0.2
CPT0025880003
Tumor
0.1
CPT0012080003
Tumor
0.1
CPT0092800003
Normal
0.1
CPT0088630003
Tumor
0.1
CPT0078660003
Tumor
0.1
CPT0076350001
Normal
0.1
CPT0025350003
Tumor
0.1
CPT0000640003
Tumor
0.1
CPT0077490003
Tumor
0.1
CPT0066480003
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0086970003
Normal
0.1
CPT0010160003
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0079380003
Tumor
0.1
CPT0063320003
Tumor
0.1
CPT0010110003
Tumor
0.1
CPT0011240003
Tumor
0.1
CPT0071150004
Tumor
0.1
CPT0069190001
Normal
0.1
CPT0021240003
Tumor
0.1
CPT0078530001
Normal
0.1
CPT0019990003
Tumor
0.1
CPT0075720003
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0001190001
Normal
0.1
CPT0086360003
Tumor
0.1
CPT0065870003
Tumor
0.1
CPT0088500001
Normal
0.1
CPT0088900003
Tumor
0.1
CPT0001550001
Normal
0.0
CPT0075570001
Normal
0.0
CPT0020120003
Tumor
0.0
CPT0001500009
Tumor
0.0
CPT0012280003
Tumor
0.0
CPT0001350001
Normal
0.0
CPT0007320003
Tumor
0.0
CPT0019130003
Tumor
0.0
CPT0065690003
Tumor
0.0
CPT0085670003
Tumor
0.0
CPT0017410003
Tumor
0.0
CPT0088920001
Normal
0.0
CPT0079180003
Tumor
0.0
CPT0079230003
Tumor
0.0
CPT0086830003
Normal
0.0
CPT0015730003
Tumor
0.0
CPT0079270003
Tumor
0.0
CPT0012290003
Normal
0.0
CPT0088780001
Normal
0.0
CPT0015910003
Tumor
0.0
CPT0012370003
Tumor
0.0
CPT0018250001
Normal
0.0
CPT0000870016
Tumor
0.0
CPT0079480003
Tumor
0.0
CPT0007860003
Tumor
-0.1
CPT0069010001
Normal
-0.1
CPT0007470001
Normal
-0.1
CPT0086370003
Normal
-0.1
CPT0014470001
Normal
-0.1
CPT0010170001
Normal
-0.1
CPT0020130001
Normal
-0.1
CPT0025580004
Tumor
-0.1
CPT0023690003
Tumor
-0.1
CPT0088570001
Normal
-0.1
CPT0064400001
Normal
-0.1
CPT0078670001
Normal
-0.1
CPT0012640003
Normal
-0.1
CPT0064370003
Tumor
-0.1
CPT0014130001
Normal
-0.1
CPT0025060001
Normal
-0.1
CPT0006630003
Tumor
-0.1
CPT0078840001
Normal
-0.1
CPT0081620001
Normal
-0.1
CPT0078800003
Tumor
-0.1
CPT0092160003
Tumor
-0.1
CPT0065820001
Normal
-0.1
CPT0078990003
Tumor
-0.1
CPT0075560003
Tumor
-0.1
CPT0087050003
Normal
-0.1
CPT0009020003
Normal
-0.1
CPT0012090003
Normal
-0.1
CPT0092790003
Tumor
-0.1
CPT0017450001
Normal
-0.1
CPT0006900003
Tumor
-0.1
CPT0025610001
Normal
-0.1
CPT0065810003
Tumor
-0.1
CPT0078510003
Tumor
-0.1
CPT0006440003
Tumor
-0.1
CPT0012920003
Normal
-0.1
CPT0014160003
Tumor
-0.2
CPT0089480003
Normal
-0.2
CPT0086870003
Tumor
-0.2
CPT0026420001
Normal
-0.2
CPT0012570003
Normal
-0.2
CPT0019160001
Normal
-0.2
CPT0000890001
Normal
-0.2
CPT0088640003
Normal
-0.2
CPT0089040001
Normal
-0.2
CPT0002370001
Normal
-0.2
CPT0009060003
Tumor
-0.2
CPT0079300001
Normal
-0.2
CPT0006950001
Normal
-0.2
CPT0063640001
Normal
-0.2
CPT0014370004
Tumor
-0.2
CPT0077500001
Normal
-0.2
CPT0078930003
Tumor
-0.2
CPT0013790003
Normal
-0.2
CPT0078940001
Normal
-0.2
CPT0079430001
Normal
-0.2
CPT0079000001
Normal
-0.2
CPT0001510001
Normal
-0.2
CPT0092740003
Normal
-0.2
CPT0020020001
Normal
-0.3
CPT0000660001
Normal
-0.3
CPT0006530001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0063330001
Normal
-0.3
CPT0006730001
Normal
-0.3
CPT0087040003
Tumor
-0.3
CPT0077310003
Tumor
-0.3
CPT0023710001
Normal
-0.3
CPT0088710001
Normal
-0.3
CPT0007870001
Normal
-0.3
CPT0009080003
Normal
-0.3
CPT0066430001
Normal
-0.3
CPT0025920001
Normal
-0.3
CPT0001230001
Normal
-0.3
CPT0077140001
Normal
-0.3
CPT0066520001
Normal
-0.4
CPT0086890003
Normal
-0.4
CPT0023360001
Normal
-0.4
CPT0000790001
Normal
-0.4
CPT0012770003
Normal
-0.4
CPT0092310003
Normal
-0.5
CPT0065450001
Normal
-0.5
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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
