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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.
RPL13 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
1359.7
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
5656.6
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
4471.9
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
3335.4
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3119.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
2979.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2716.4
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
2638.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
2331.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2308.4
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
2289.4
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
2270.8
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2141.6
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2129.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
2091.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2089.8
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
2073.8
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2071.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1999.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1996.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1924.8
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
1918.2
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1886.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1849.9
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1843.7
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1816.3
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1712.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1654.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
1566.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1552.8
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1499.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1478.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
1275.6
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1186.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1142.6
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
1127.2
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1124.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
1077.2
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
758.1
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
699.1
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
687.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
674.1
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
510.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
469.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
388.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
344.2
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
328.0
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
320.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
298.8
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
298.7
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
283.1
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
274.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
264.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
243.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
242.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
235.1
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
234.3
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
202.4
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
154.8
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
150.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
142.8
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
129.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
125.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
117.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 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.
RPL13 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2702.6
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
13851.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
9174.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
8580.4
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
8443.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
8284.5
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
7871.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
7624.1
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
6831.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
6594.8
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
6587.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
6549.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
6467.6
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
6279.9
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6058.6
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
5995.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5951.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
5788.8
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
5529.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
5355.5
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
5280.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
4883.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4824.8
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4819.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4789.8
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
4761.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4737.5
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4656.7
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4603.2
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4536.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
4498.2
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
4491.8
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4479.1
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
4461.9
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
4441.5
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
4417.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4356.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4333.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
4234.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4230.5
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
4226.4
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
4220.9
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4216.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
4175.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
4172.6
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4128.2
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
4121.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
4120.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
4100.9
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
4093.4
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
4001.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
3987.1
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3971.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
3952.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3951.0
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3945.5
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3926.4
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3922.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3912.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3891.4
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
3872.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3871.1
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
3862.4
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3800.7
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3796.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3792.8
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3791.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3781.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3779.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
3778.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3759.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3735.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
3717.6
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3706.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3693.3
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3678.1
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3654.4
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3647.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
3635.5
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
3622.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3610.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3595.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3573.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
3553.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3531.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3529.7
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
3513.0
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3512.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3497.4
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3494.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3489.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
3489.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
3484.2
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3483.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3468.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
3459.0
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3454.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
3453.1
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3429.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3423.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3423.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3417.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
3417.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3404.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3397.8
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3395.1
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3389.4
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
3388.0
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3375.6
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
3367.2
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3366.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3349.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3329.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3311.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3305.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
3305.5
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3294.7
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3294.5
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
3294.2
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
3286.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
3269.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3252.9
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3242.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3240.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3229.9
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
3226.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3223.6
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3221.7
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3216.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
3205.1
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3201.5
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3160.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3160.3
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3135.3
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
3127.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3124.5
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
3122.4
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3105.1
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3086.4
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
3079.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3077.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
3072.6
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3067.9
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
3066.1
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3050.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
3032.5
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
3032.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
3018.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3013.2
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3010.3
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3004.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2999.6
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2993.6
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2960.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2956.0
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2954.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2951.5
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2931.4
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2921.1
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
2919.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2917.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2914.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2906.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2903.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2902.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2901.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2890.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2889.8
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
2888.7
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
2886.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2880.7
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2872.2
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
2871.5
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2866.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2861.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2854.8
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2853.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2851.4
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
2850.0
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2837.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2833.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2824.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
2823.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
2821.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2818.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2813.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2813.5
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2805.1
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2800.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2797.4
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2786.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2781.6
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2776.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2772.3
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2772.1
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2768.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2764.8
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2757.7
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2754.7
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
2753.6
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2751.5
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2745.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
2738.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2736.6
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
2732.6
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2728.6
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2725.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
2718.4
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2708.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2699.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
2693.5
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2687.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2683.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2674.8
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2673.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2667.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2658.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2658.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2654.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2653.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2653.6
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2649.5
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2646.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2638.7
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2635.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2627.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2623.6
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2623.6
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2611.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2603.6
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2596.7
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2595.0
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
2585.9
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2584.6
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2579.0
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2575.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2570.2
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2565.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2565.1
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2564.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2554.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2552.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2552.2
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2550.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2547.2
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2543.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2542.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2539.8
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2535.9
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2535.4
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
2534.7
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2534.4
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2527.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2526.9
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2520.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2514.4
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2511.7
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2511.7
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2503.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2502.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2501.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2500.1
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2498.5
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2488.8
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2488.6
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2488.5
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2484.2
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2475.2
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2459.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2456.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
2455.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
2444.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2440.6
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2438.8
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
2436.0
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2435.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2434.8
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2427.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2422.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2411.7
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2401.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2392.3
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2388.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2388.2
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2386.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2384.3
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2378.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
2376.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2360.7
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2359.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2359.3
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2348.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2344.0
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2343.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
2341.9
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2336.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
2335.0
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2332.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
2325.5
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2321.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2319.5
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2318.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2314.9
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
2310.0
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2302.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2302.2
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2300.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2294.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2292.9
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2285.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2276.1
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2272.1
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2264.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2260.1
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2259.7
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
2256.5
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2251.7
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2248.4
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
2245.2
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2240.8
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
2238.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
2237.5
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2236.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
2231.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2224.0
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2216.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2216.5
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2213.2
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2206.3
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2206.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2205.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2204.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2202.1
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2201.8
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2197.6
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2196.5
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2187.5
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2184.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2177.5
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2171.1
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2157.7
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
2151.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2137.0
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2124.9
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2124.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
2123.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2122.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2121.0
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
2120.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2119.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2112.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2101.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2100.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2096.0
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2094.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
2093.1
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2092.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2090.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2085.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2083.9
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2080.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
2075.9
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2074.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2059.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2058.1
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2056.3
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2045.6
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2043.0
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2042.2
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2040.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2033.6
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2030.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2029.9
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2029.0
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2028.0
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2027.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2027.1
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2026.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2019.7
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2010.7
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2010.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2008.4
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1996.5
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1995.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1993.7
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1989.3
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1985.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1972.5
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1966.7
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1954.9
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1947.3
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1945.9
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1933.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
1927.2
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1920.8
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1919.4
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1918.4
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1911.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1910.9
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1901.3
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1894.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1893.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1892.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1882.7
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1882.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1881.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1873.7
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1870.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1866.3
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1864.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1855.5
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1846.2
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1843.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1839.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1835.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1827.0
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1815.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1811.9
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1806.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1802.7
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1799.2
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1798.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
1784.5
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1760.7
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1756.9
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1755.8
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1752.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1743.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1732.6
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1721.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1718.1
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1716.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1712.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1708.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1701.3
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1698.5
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1694.9
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1688.1
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1684.9
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1680.0
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1660.9
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1653.3
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1653.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1642.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1638.0
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1631.1
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1622.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
1620.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1617.7
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1615.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1606.9
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1598.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1587.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1587.2
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1584.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1579.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1575.0
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1557.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1553.9
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1545.0
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1543.8
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1543.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1540.1
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1538.7
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1531.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1526.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1526.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1514.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1510.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1506.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1506.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1504.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1496.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1496.2
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1478.1
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1463.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1462.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1461.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1453.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1452.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1427.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1423.3
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1421.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1415.5
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1406.9
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1401.6
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1400.6
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1400.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1398.6
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1396.8
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1396.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1369.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1368.4
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1339.9
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1334.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1323.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1315.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1291.9
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1290.1
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1237.4
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1231.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1222.4
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1214.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1202.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1201.1
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
1175.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1162.7
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1160.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1156.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1145.5
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1121.0
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1088.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1054.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1044.9
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1025.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
885.4
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
843.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
842.3
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
813.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
724.0
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
343.7
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL13 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
2564.9
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
8912.0
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
5613.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
5171.9
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
5042.2
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
4825.5
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4823.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
4611.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
4470.1
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
4269.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
3807.1
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3795.0
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
3781.9
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3773.3
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3645.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
3435.9
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3307.8
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3265.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3264.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
3253.0
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3227.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3210.4
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3142.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3137.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3117.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3109.7
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3014.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
3010.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3002.9
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2905.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2891.6
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2859.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2819.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2744.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2662.5
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2661.1
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
2660.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2608.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2574.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2500.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2497.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2393.9
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2391.4
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2388.5
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2376.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2374.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2368.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2347.2
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2325.1
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2309.4
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2291.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2246.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2225.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2217.7
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2193.7
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2187.6
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2169.8
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2146.4
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2143.6
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2116.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2116.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2107.4
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2104.6
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2084.4
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2083.5
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2070.2
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2061.8
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2019.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
2004.0
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1985.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1972.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1970.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1962.2
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1961.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1960.5
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1892.9
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1851.0
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1846.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1844.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1819.9
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1819.7
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1815.4
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1764.2
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1747.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1745.9
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1723.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1722.5
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1691.3
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1617.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1598.2
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1580.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1568.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1561.4
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1532.3
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1400.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1183.3
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
1040.2
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
942.9
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
797.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
769.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL13 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2325.7
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
12003.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
9829.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
8691.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
8266.2
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
7850.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
6769.0
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
6629.8
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
6403.3
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
6308.5
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6252.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
6237.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
6063.0
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
6043.1
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5785.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
5775.2
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
5637.0
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
5146.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
5123.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
5119.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
5066.2
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
4946.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
4760.6
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
4725.4
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4714.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
4591.2
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
4584.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4558.7
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
4515.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
4511.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
4483.9
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4424.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
4353.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
4198.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4132.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
4078.6
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
4042.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
4017.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
4011.8
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
3998.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3967.9
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3814.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
3752.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
3731.9
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
3696.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
3684.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3680.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3678.0
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3571.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
3569.9
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
3545.9
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3498.3
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3451.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
3444.6
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
3439.4
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3409.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3409.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
3319.1
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
3314.7
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3264.1
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3235.5
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
3216.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3190.2
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
3184.3
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3169.7
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3155.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3150.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3122.7
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3120.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
3114.4
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3092.8
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3090.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
3054.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
3047.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
3011.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
3011.0
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2995.1
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2984.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2963.5
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2951.8
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2946.4
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2942.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
2938.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2929.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2927.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2906.6
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2906.0
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2892.5
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2887.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2871.1
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
2868.6
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2857.4
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2832.3
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2806.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2800.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2793.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2786.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2786.9
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2779.9
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2772.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2768.6
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2743.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2716.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2696.6
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2689.6
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2659.4
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2638.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2630.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2621.8
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2608.4
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2596.3
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2584.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2580.3
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2551.6
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2544.8
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2540.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
2501.0
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2486.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2465.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2453.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2445.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
2435.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
2416.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2396.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2393.3
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2392.1
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2391.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2379.3
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2366.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2364.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2339.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
2329.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2324.6
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2315.3
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2309.1
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2303.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2300.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2298.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2245.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2240.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
2217.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2203.8
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2173.0
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
2168.3
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2164.3
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2163.7
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2136.3
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2131.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2130.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2130.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
2106.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2095.0
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2093.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2086.2
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2075.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
2074.0
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2064.4
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2038.4
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2032.7
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
2028.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2018.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2003.8
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1993.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1953.2
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1924.0
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1906.9
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1903.9
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1902.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1901.6
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1900.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1877.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1871.4
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1854.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1842.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1835.9
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1828.7
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1818.6
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1788.6
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1788.1
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1778.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1775.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1745.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1743.0
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1736.9
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1714.6
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1697.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1693.5
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1686.0
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1659.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1634.6
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1615.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1565.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1551.8
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1549.5
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1547.1
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1544.4
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1539.2
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1516.5
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1508.4
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1488.7
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1480.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1450.6
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1384.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1376.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1289.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1283.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1187.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1164.8
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1156.4
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
977.0
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
972.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
966.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
833.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
782.2
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
752.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
701.8
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
672.1
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
660.2
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
600.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
598.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
552.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
484.5
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
462.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
462.8
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
400.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
399.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
386.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
379.1
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
356.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
353.7
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
350.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
343.3
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
334.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
334.0
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
332.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
329.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
329.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
327.1
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
318.1
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
316.4
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
314.0
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
304.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
300.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
296.8
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
295.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
277.4
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
267.4
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
266.3
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
266.2
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
265.8
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
258.1
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
251.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
249.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
241.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
239.2
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
229.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
229.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
197.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
193.9
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
175.9
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
174.9
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
171.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
159.7
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
157.3
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
145.2
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
144.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
137.5
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
135.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
132.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
127.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
120.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
119.9
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
111.6
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
99.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
98.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
87.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
68.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
54.7
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
25.9
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
24.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
11.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
3.7
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
1.9
CPT0023350003
Tumor
1.5
CPT0088970003
Tumor
1.2
CPT0088550004
Tumor
1.2
CPT0065430003
Tumor
1.1
CPT0011410003
Tumor
1.1
CPT0012550003
Tumor
1.1
CPT0079410003
Tumor
1.0
CPT0002350011
Tumor
1.0
CPT0075130003
Tumor
0.9
CPT0001180009
Tumor
0.9
CPT0086030003
Tumor
0.8
CPT0092730003
Tumor
0.8
CPT0088480003
Tumor
0.8
CPT0066470004
Tumor
0.7
CPT0079480003
Tumor
0.7
CPT0088690003
Tumor
0.7
CPT0012180003
Tumor
0.7
CPT0088760003
Tumor
0.7
CPT0086950003
Tumor
0.7
CPT0017850003
Tumor
0.7
CPT0025050003
Tumor
0.6
CPT0079180003
Tumor
0.6
CPT0085670003
Tumor
0.6
CPT0001540009
Tumor
0.6
CPT0078800003
Tumor
0.6
CPT0025230003
Tumor
0.6
CPT0081600003
Tumor
0.6
CPT0081880003
Tumor
0.5
CPT0065930003
Tumor
0.5
CPT0081990003
Tumor
0.5
CPT0089460004
Tumor
0.5
CPT0001260009
Tumor
0.5
CPT0069160003
Tumor
0.5
CPT0086820003
Tumor
0.5
CPT0086360003
Tumor
0.5
CPT0025880003
Tumor
0.5
CPT0015730003
Tumor
0.5
CPT0010160003
Tumor
0.5
CPT0077110003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0078990003
Tumor
0.4
CPT0088630003
Tumor
0.4
CPT0077490003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0019990003
Tumor
0.4
CPT0063630003
Tumor
0.4
CPT0088900003
Tumor
0.4
CPT0077320001
Normal
0.4
CPT0009000003
Tumor
0.4
CPT0069000003
Tumor
0.3
CPT0006630003
Tumor
0.3
CPT0078830003
Tumor
0.3
CPT0065750003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0001220008
Tumor
0.3
CPT0078660003
Tumor
0.3
CPT0012080003
Tumor
0.3
CPT0020120003
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0025350003
Tumor
0.3
CPT0012670003
Tumor
0.3
CPT0065810003
Tumor
0.3
CPT0002270011
Tumor
0.3
CPT0014450004
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0065690003
Tumor
0.3
CPT0025580004
Tumor
0.2
CPT0024670003
Tumor
0.2
CPT0088570001
Normal
0.2
CPT0086870003
Tumor
0.2
CPT0079380003
Tumor
0.2
CPT0001500009
Tumor
0.2
CPT0089020003
Tumor
0.2
CPT0010120001
Normal
0.2
CPT0092790003
Tumor
0.2
CPT0063320003
Tumor
0.2
CPT0025170003
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0001270001
Normal
0.2
CPT0069190001
Normal
0.1
CPT0025110003
Tumor
0.1
CPT0025290003
Tumor
0.1
CPT0012280003
Tumor
0.1
CPT0012370003
Tumor
0.1
CPT0079230003
Tumor
0.1
CPT0023690003
Tumor
0.1
CPT0012900004
Tumor
0.0
CPT0021240003
Tumor
0.0
CPT0025060001
Normal
0.0
CPT0084560003
Tumor
0.0
CPT0000780007
Tumor
0.0
CPT0077310003
Tumor
0.0
CPT0076350001
Normal
0.0
CPT0084590001
Normal
0.0
CPT0092160003
Tumor
0.0
CPT0014370004
Tumor
0.0
CPT0007320003
Tumor
0.0
CPT0077500001
Normal
-0.1
CPT0092190003
Normal
-0.1
CPT0013790003
Normal
-0.1
CPT0065870003
Tumor
-0.1
CPT0064370003
Tumor
-0.1
CPT0024680001
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0088920001
Normal
-0.1
CPT0020130001
Normal
-0.2
CPT0014160003
Tumor
-0.2
CPT0078510003
Tumor
-0.2
CPT0014470001
Normal
-0.2
CPT0007860003
Tumor
-0.2
CPT0092800003
Normal
-0.2
CPT0075170001
Normal
-0.2
CPT0019130003
Tumor
-0.2
CPT0006440003
Tumor
-0.2
CPT0006900003
Tumor
-0.3
CPT0066480003
Tumor
-0.3
CPT0078930003
Tumor
-0.3
CPT0000870016
Tumor
-0.3
CPT0086970003
Normal
-0.3
CPT0075560003
Tumor
-0.3
CPT0069010001
Normal
-0.3
CPT0079510001
Normal
-0.3
CPT0011240003
Tumor
-0.4
CPT0017410003
Tumor
-0.4
CPT0012920003
Normal
-0.4
CPT0012290003
Normal
-0.4
CPT0075720003
Tumor
-0.4
CPT0081620001
Normal
-0.4
CPT0014130001
Normal
-0.4
CPT0012570003
Normal
-0.4
CPT0079270003
Tumor
-0.4
CPT0087040003
Tumor
-0.4
CPT0075570001
Normal
-0.4
CPT0006730001
Normal
-0.4
CPT0077140001
Normal
-0.5
CPT0065820001
Normal
-0.5
CPT0015910003
Tumor
-0.5
CPT0001350001
Normal
-0.5
CPT0023360001
Normal
-0.5
CPT0086370003
Normal
-0.5
CPT0092310003
Normal
-0.5
CPT0092740003
Normal
-0.6
CPT0007470001
Normal
-0.6
CPT0088780001
Normal
-0.6
CPT0009060003
Tumor
-0.6
CPT0012090003
Normal
-0.6
CPT0078530001
Normal
-0.6
CPT0087050003
Normal
-0.6
CPT0086830003
Normal
-0.6
CPT0025610001
Normal
-0.6
CPT0001190001
Normal
-0.6
CPT0018250001
Normal
-0.6
CPT0012640003
Normal
-0.6
CPT0088640003
Normal
-0.6
CPT0078840001
Normal
-0.7
CPT0006950001
Normal
-0.7
CPT0064400001
Normal
-0.7
CPT0079300001
Normal
-0.7
CPT0019160001
Normal
-0.7
CPT0002370001
Normal
-0.7
CPT0010170001
Normal
-0.7
CPT0079430001
Normal
-0.7
CPT0088710001
Normal
-0.7
CPT0078670001
Normal
-0.7
CPT0088500001
Normal
-0.8
CPT0089480003
Normal
-0.8
CPT0009020003
Normal
-0.8
CPT0001510001
Normal
-0.8
CPT0089040001
Normal
-0.8
CPT0020020001
Normal
-0.8
CPT0026420001
Normal
-0.9
CPT0066520001
Normal
-0.9
CPT0007870001
Normal
-0.9
CPT0001550001
Normal
-0.9
CPT0063640001
Normal
-0.9
CPT0014350001
Normal
-0.9
CPT0079000001
Normal
-0.9
CPT0000640003
Tumor
-0.9
CPT0023710001
Normal
-0.9
CPT0078940001
Normal
-0.9
CPT0086890003
Normal
-0.9
CPT0025920001
Normal
-0.9
CPT0082010001
Normal
-0.9
CPT0063330001
Normal
-0.9
CPT0001230001
Normal
-1.0
CPT0006530001
Normal
-1.0
CPT0065450001
Normal
-1.0
CPT0017450001
Normal
-1.1
CPT0000660001
Normal
-1.1
CPT0009080003
Normal
-1.2
CPT0000790001
Normal
-1.2
CPT0066430001
Normal
-1.2
CPT0012770003
Normal
-1.3
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
