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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.
RPL23A 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
354.8
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
2590.3
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1061.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
975.9
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
807.4
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
512.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
483.6
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
463.1
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
459.8
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
458.3
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
438.3
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
434.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
410.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
406.8
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
402.8
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
402.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
400.0
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
396.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
377.7
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
371.8
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
371.5
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
369.6
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
359.0
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
352.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
352.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
346.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
345.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
344.0
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
328.2
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
325.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
324.4
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
315.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
315.1
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
313.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
312.5
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
308.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
303.0
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
301.9
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
296.9
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
296.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
295.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
287.9
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
287.4
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
281.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
270.1
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
226.3
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
214.7
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
199.4
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
196.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
193.7
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
192.8
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
175.3
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
173.4
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
156.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
149.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
138.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
133.3
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
126.8
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
121.0
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
101.5
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
95.9
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
80.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
76.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
55.3
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 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.
RPL23A 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
1406.0
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4348.2
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
3980.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2935.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2874.0
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
2843.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
2833.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
2709.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2634.5
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
2570.6
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
2558.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2475.1
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
2465.4
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2438.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2433.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
2420.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
2419.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
2414.7
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
2414.7
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2404.5
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
2404.4
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
2395.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2395.5
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
2390.9
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2381.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
2376.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2370.4
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
2351.7
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2286.9
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2284.1
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
2253.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
2228.8
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
2214.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
2211.2
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
2205.7
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2178.8
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2164.6
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
2146.7
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2118.3
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
2098.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2098.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2089.5
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2086.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2070.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2064.0
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
2049.4
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2048.3
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2044.5
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2040.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2039.5
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
2035.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2032.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
2023.9
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
2018.6
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2011.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2011.0
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
2003.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2001.7
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
1992.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
1991.3
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1990.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
1953.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1939.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
1919.2
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1908.8
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
1904.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1902.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1901.1
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1895.4
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
1894.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1881.4
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
1879.6
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
1867.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
1863.2
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
1852.4
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1831.3
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
1830.6
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1829.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
1823.6
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
1817.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1813.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1803.6
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
1803.5
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
1796.3
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1793.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
1782.3
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1778.3
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
1772.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
1772.7
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
1770.5
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1769.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1765.1
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
1765.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
1762.8
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1756.3
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
1756.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
1754.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1749.3
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
1742.5
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1736.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1734.6
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1732.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1730.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1723.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
1718.2
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
1717.9
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
1713.0
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
1712.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1712.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1710.6
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1709.5
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1709.5
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1708.0
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1703.2
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
1692.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
1686.8
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1685.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
1684.7
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
1678.1
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1676.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1674.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1668.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
1668.4
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1668.3
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1664.7
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1664.6
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
1664.1
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
1663.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
1662.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1661.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1656.4
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1654.2
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1643.9
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
1643.4
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1639.1
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
1637.6
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
1634.8
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
1633.4
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1632.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1627.7
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1627.2
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
1626.4
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1626.4
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1620.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
1618.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1617.9
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
1613.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1609.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1607.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
1607.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1605.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1605.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
1602.9
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
1600.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1599.8
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1596.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
1594.2
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
1593.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1591.6
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
1589.3
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1588.9
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
1583.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
1581.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
1580.9
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1580.0
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
1577.8
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1570.2
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1568.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
1565.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1565.4
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
1564.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
1562.5
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
1561.7
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
1561.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1559.5
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1553.7
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1552.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1546.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1544.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1542.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1542.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
1542.2
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
1540.4
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
1537.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1534.8
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1532.6
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
1532.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1530.0
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
1526.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1524.9
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
1520.9
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1520.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
1518.4
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
1517.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1516.0
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
1514.5
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
1509.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1509.0
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1508.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1506.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1505.4
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1502.7
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1502.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
1501.2
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
1500.4
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1498.1
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1487.8
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1484.9
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1484.9
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1483.8
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1482.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1478.4
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
1477.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
1476.6
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
1474.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1462.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1458.6
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1456.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
1455.3
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1455.2
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1454.0
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
1454.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1453.7
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1445.6
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
1443.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
1438.7
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
1436.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1436.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1432.0
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1431.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
1430.4
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1428.6
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
1428.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1428.1
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
1427.5
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
1424.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1421.6
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
1418.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1414.8
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1414.7
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
1412.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1409.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
1408.0
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
1406.0
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
1404.7
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1403.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1402.9
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1401.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
1399.6
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
1397.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1393.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1393.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
1393.0
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
1391.5
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1391.0
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
1389.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
1388.0
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
1387.4
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
1386.0
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1385.6
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
1385.5
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
1381.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
1381.6
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
1380.4
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
1379.3
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1379.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1373.8
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1372.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1371.3
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1368.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
1368.5
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1368.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
1367.6
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
1365.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
1363.9
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
1363.4
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
1361.9
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1361.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1359.8
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
1359.0
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1357.9
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1352.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1352.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1351.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1350.5
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
1349.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1347.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1347.1
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1345.2
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
1344.2
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
1343.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1342.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1341.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1339.0
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1338.8
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1329.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1325.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1324.5
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1322.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1318.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
1318.2
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1317.3
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1312.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
1309.4
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1309.1
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1306.3
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
1305.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1302.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1301.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1300.3
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
1299.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1298.4
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1296.2
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
1294.4
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1291.4
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1288.1
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
1285.3
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
1285.0
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1284.0
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
1281.9
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1281.7
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1281.0
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1279.1
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1277.9
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1275.0
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
1273.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1264.2
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1261.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
1261.2
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1257.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
1248.6
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1246.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
1246.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1245.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1241.2
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1237.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1234.3
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1233.8
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1233.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
1232.3
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1230.7
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1226.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1223.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1222.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1221.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1216.9
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1212.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1210.3
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1206.7
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1206.6
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1204.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1204.6
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1202.0
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1198.3
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1197.9
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1187.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1186.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1185.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1181.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1170.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1168.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1163.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1162.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1160.8
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1159.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1159.2
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1159.0
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1152.2
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1149.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1149.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1146.7
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1143.0
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1139.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1139.0
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1137.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1134.1
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1133.1
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1132.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1131.8
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1126.9
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
1126.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1126.3
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1117.6
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1116.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
1115.1
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1114.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1114.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1109.3
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1107.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1104.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
1103.6
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1102.6
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1100.5
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1100.5
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1095.0
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1094.2
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1092.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1088.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1085.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1077.9
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
1076.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1073.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1072.8
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1069.4
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1062.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1061.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1061.1
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
1055.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1054.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1048.3
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1047.8
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1046.9
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1046.3
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1045.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1039.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1038.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1036.5
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1035.0
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1031.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1027.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1027.7
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1022.3
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1015.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1004.1
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
997.2
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
990.9
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
987.6
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
985.2
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
983.5
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
983.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
978.7
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
974.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
970.7
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
961.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
952.5
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
949.4
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
946.9
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
945.3
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
940.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
935.2
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
925.4
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
925.0
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
919.4
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
912.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
908.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
897.0
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
896.7
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
896.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
895.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
889.8
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
886.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
880.7
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
875.6
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
875.0
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
867.1
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
866.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
864.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
853.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
851.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
848.3
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
845.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
844.5
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
842.8
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
841.4
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
839.0
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
836.2
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
833.0
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
831.2
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
828.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
817.0
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
814.7
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
804.3
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
804.0
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
803.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
800.1
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
775.2
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
760.2
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
759.8
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
757.8
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
755.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
740.4
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
737.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
736.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
726.7
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
721.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
718.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
712.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
698.2
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
695.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
692.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
691.8
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
691.3
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
676.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
675.1
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
672.3
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
669.5
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
662.5
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
651.4
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
650.2
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
645.8
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
639.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
617.8
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
613.6
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
605.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
595.9
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
593.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
560.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
549.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
541.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
532.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
532.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
502.4
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
490.1
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
478.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
466.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
461.7
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
410.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
397.9
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
380.6
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
360.2
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
259.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 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.
RPL23A 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
1370.3
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
3358.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3228.0
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2543.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
2165.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2132.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1984.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1975.4
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
1970.9
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1894.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1892.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1860.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1841.0
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1830.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1827.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1766.4
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
1749.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1721.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1708.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
1681.7
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1681.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1613.3
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1605.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1567.3
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1565.9
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1564.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1552.4
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
1552.4
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1527.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1489.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1489.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1477.1
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1452.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1449.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1444.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1426.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1424.0
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
1412.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1406.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
1401.3
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1373.0
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1366.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1358.5
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1353.0
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1343.7
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1340.4
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1330.9
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1326.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1321.0
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1320.6
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1294.6
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1290.2
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1276.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1274.1
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1273.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1267.1
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1265.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1265.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1259.4
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1259.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1257.7
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1251.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1248.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1243.1
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1222.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1222.0
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1198.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1194.8
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1177.1
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1168.0
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1167.5
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1161.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1153.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1134.8
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1127.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1123.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1101.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1097.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1094.8
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1080.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1052.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1048.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1044.2
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1024.2
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1009.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1001.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
994.7
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
970.3
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
959.3
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
942.0
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
926.5
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
921.9
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
914.9
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
871.4
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
819.3
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
792.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
789.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
705.5
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
592.0
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
426.2
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 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.
RPL23A is potential prognostic, high expression is unfavorable in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1030.5
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
4962.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3148.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2962.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
2804.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2668.1
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2477.5
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
2471.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2457.3
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2319.7
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2311.8
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2191.6
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2106.7
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1979.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1953.9
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1932.3
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1926.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
1913.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
1901.6
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1876.8
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
1847.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1827.0
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
1797.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1797.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
1789.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1780.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
1768.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1752.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
1718.6
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
1688.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1629.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1623.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1615.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1609.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1604.1
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
1592.9
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
1563.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1558.3
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
1545.0
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
1539.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1535.5
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1528.7
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
1510.1
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
1508.5
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1507.5
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1505.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1497.3
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1490.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1488.1
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
1478.7
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1472.4
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1471.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1467.7
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
1454.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
1450.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1449.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1448.2
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1437.5
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1437.5
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1427.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
1419.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
1417.8
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1415.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1410.0
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1408.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1402.9
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1374.1
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1371.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1369.5
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1369.0
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1351.0
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1348.4
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1338.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1338.2
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1327.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1320.7
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1316.7
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1315.5
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1310.1
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1299.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1284.8
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1278.7
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1268.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1259.1
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
1257.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1254.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1251.1
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1246.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1244.2
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1243.8
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
1243.0
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
1231.1
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
1229.6
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1221.3
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
1218.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1208.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1206.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1202.9
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1201.4
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
1195.3
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1185.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1184.8
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1176.0
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1170.8
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1169.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1152.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
1143.7
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1135.8
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1133.9
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1131.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1131.2
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1126.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1126.4
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1122.1
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1117.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1110.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1105.3
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1104.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1101.4
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1100.1
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1094.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1089.9
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1087.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1084.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1076.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
1051.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
1043.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1037.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1034.4
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1031.7
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1030.3
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1023.8
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1009.0
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1002.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
998.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
995.6
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
989.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
980.3
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
975.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
964.4
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
962.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
962.0
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
960.5
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
957.4
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
953.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
946.2
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
945.4
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
942.8
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
939.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
930.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
929.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
923.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
922.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
921.5
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
918.1
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
909.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
905.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
902.6
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
897.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
884.4
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
882.0
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
878.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
876.2
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
875.8
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
869.5
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
869.2
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
868.6
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
868.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
867.6
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
865.4
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
864.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
864.5
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
859.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
857.8
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
852.4
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
851.1
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
847.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
825.7
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
809.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
806.1
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
803.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
801.2
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
795.5
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
793.1
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
780.3
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
779.6
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
779.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
778.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
770.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
769.9
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
764.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
758.0
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
756.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
734.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
726.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
721.0
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
704.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
702.5
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
701.7
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
700.0
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
695.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
688.1
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
681.9
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
678.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
658.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
655.7
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
630.2
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
629.7
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
627.2
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
618.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
615.0
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
602.4
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
601.6
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
593.7
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
583.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
580.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
577.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
561.0
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
559.6
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
559.2
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
556.2
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
549.9
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
529.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
527.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
519.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
494.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
484.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
476.4
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
465.8
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
462.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
454.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
454.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
453.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
447.2
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
444.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
439.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
433.9
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
431.3
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
428.0
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
426.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
426.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
415.5
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
402.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
402.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
389.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
386.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
380.6
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
379.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
366.2
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
365.0
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
361.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
360.5
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
354.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
347.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
343.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
343.3
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
340.3
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
339.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
331.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
324.0
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
323.3
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
322.3
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
321.9
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
316.2
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
315.2
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
313.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
313.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
309.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
271.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
262.1
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
252.3
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
240.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
214.4
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
209.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
204.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
201.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
196.8
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
188.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
186.5
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
167.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
163.3
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
161.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
159.6
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0012550003
Tumor
1.4
CPT0088550004
Tumor
1.4
CPT0017850003
Tumor
1.2
CPT0001340003
Tumor
1.2
CPT0023350003
Tumor
1.2
CPT0011410003
Tumor
1.1
CPT0001180009
Tumor
1.0
CPT0065430003
Tumor
0.9
CPT0079410003
Tumor
0.9
CPT0066470004
Tumor
0.9
CPT0092730003
Tumor
0.8
CPT0086030003
Tumor
0.8
CPT0012180003
Tumor
0.8
CPT0088970003
Tumor
0.8
CPT0078800003
Tumor
0.7
CPT0075130003
Tumor
0.7
CPT0025050003
Tumor
0.7
CPT0002350011
Tumor
0.7
CPT0085670003
Tumor
0.7
CPT0001540009
Tumor
0.7
CPT0015730003
Tumor
0.7
CPT0069160003
Tumor
0.7
CPT0088760003
Tumor
0.6
CPT0015810003
Tumor
0.6
CPT0065930003
Tumor
0.6
CPT0086820003
Tumor
0.6
CPT0002270011
Tumor
0.6
CPT0089460004
Tumor
0.6
CPT0081600003
Tumor
0.6
CPT0012670003
Tumor
0.6
CPT0014450004
Tumor
0.6
CPT0021240003
Tumor
0.6
CPT0025230003
Tumor
0.5
CPT0020120003
Tumor
0.5
CPT0081990003
Tumor
0.5
CPT0081880003
Tumor
0.5
CPT0071150004
Tumor
0.5
CPT0012080003
Tumor
0.5
CPT0086360003
Tumor
0.5
CPT0077110003
Tumor
0.5
CPT0088690003
Tumor
0.5
CPT0024670003
Tumor
0.5
CPT0006630003
Tumor
0.5
CPT0086950003
Tumor
0.4
CPT0088900003
Tumor
0.4
CPT0010160003
Tumor
0.4
CPT0077320001
Normal
0.4
CPT0065810003
Tumor
0.4
CPT0025880003
Tumor
0.4
CPT0069000003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0078990003
Tumor
0.4
CPT0065750003
Tumor
0.4
CPT0089020003
Tumor
0.4
CPT0025350003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0079380003
Tumor
0.4
CPT0092290003
Tumor
0.4
CPT0088480003
Tumor
0.4
CPT0079480003
Tumor
0.4
CPT0011240003
Tumor
0.3
CPT0019990003
Tumor
0.3
CPT0065690003
Tumor
0.3
CPT0001500009
Tumor
0.3
CPT0088630003
Tumor
0.3
CPT0078660003
Tumor
0.3
CPT0088570001
Normal
0.3
CPT0012370003
Tumor
0.3
CPT0023690003
Tumor
0.3
CPT0092790003
Tumor
0.3
CPT0001220008
Tumor
0.3
CPT0012900004
Tumor
0.3
CPT0076330003
Tumor
0.3
CPT0001270001
Normal
0.3
CPT0078830003
Tumor
0.2
CPT0075560003
Tumor
0.2
CPT0010110003
Tumor
0.2
CPT0009000003
Tumor
0.2
CPT0063630003
Tumor
0.2
CPT0014160003
Tumor
0.2
CPT0084560003
Tumor
0.2
CPT0000780007
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0077490003
Tumor
0.2
CPT0010120001
Normal
0.2
CPT0025060001
Normal
0.2
CPT0069190001
Normal
0.2
CPT0064370003
Tumor
0.2
CPT0078510003
Tumor
0.2
CPT0012280003
Tumor
0.2
CPT0086870003
Tumor
0.2
CPT0007320003
Tumor
0.1
CPT0065870003
Tumor
0.1
CPT0024680001
Normal
0.1
CPT0025290003
Tumor
0.1
CPT0025580004
Tumor
0.1
CPT0025110003
Tumor
0.1
CPT0092160003
Tumor
0.0
CPT0078930003
Tumor
0.0
CPT0006440003
Tumor
0.0
CPT0025170003
Tumor
0.0
CPT0007860003
Tumor
0.0
CPT0014470001
Normal
0.0
CPT0006900003
Tumor
0.0
CPT0079230003
Tumor
0.0
CPT0063320003
Tumor
N/A
CPT0019130003
Tumor
0.0
CPT0092190003
Normal
0.0
CPT0077310003
Tumor
0.0
CPT0076350001
Normal
0.0
CPT0079180003
Tumor
-0.1
CPT0066480003
Tumor
-0.1
CPT0088920001
Normal
-0.1
CPT0014370004
Tumor
-0.1
CPT0017410003
Tumor
-0.1
CPT0012640003
Normal
-0.1
CPT0000870016
Tumor
-0.1
CPT0013790003
Normal
-0.1
CPT0000890001
Normal
-0.1
CPT0079510001
Normal
-0.1
CPT0000640003
Tumor
-0.1
CPT0012920003
Normal
-0.2
CPT0079270003
Tumor
-0.2
CPT0087040003
Tumor
-0.2
CPT0077500001
Normal
-0.2
CPT0075170001
Normal
-0.2
CPT0012290003
Normal
-0.2
CPT0075570001
Normal
-0.2
CPT0078530001
Normal
-0.3
CPT0075720003
Tumor
-0.3
CPT0092800003
Normal
-0.3
CPT0006730001
Normal
-0.3
CPT0009060003
Tumor
-0.3
CPT0015910003
Tumor
-0.3
CPT0014130001
Normal
-0.4
CPT0012570003
Normal
-0.4
CPT0018250001
Normal
-0.4
CPT0092310003
Normal
-0.4
CPT0069010001
Normal
-0.4
CPT0001190001
Normal
-0.4
CPT0012090003
Normal
-0.5
CPT0079430001
Normal
-0.5
CPT0020020001
Normal
-0.5
CPT0065820001
Normal
-0.5
CPT0088780001
Normal
-0.5
CPT0081620001
Normal
-0.5
CPT0007470001
Normal
-0.5
CPT0017450001
Normal
-0.5
CPT0001550001
Normal
-0.5
CPT0020130001
Normal
-0.5
CPT0026420001
Normal
-0.6
CPT0009020003
Normal
-0.6
CPT0079300001
Normal
-0.6
CPT0089040001
Normal
-0.6
CPT0064400001
Normal
-0.6
CPT0082010001
Normal
-0.6
CPT0001230001
Normal
-0.6
CPT0086830003
Normal
-0.6
CPT0009080003
Normal
-0.6
CPT0066520001
Normal
-0.6
CPT0092740003
Normal
-0.6
CPT0078840001
Normal
-0.7
CPT0019160001
Normal
-0.7
CPT0002370001
Normal
-0.7
CPT0088500001
Normal
-0.7
CPT0023360001
Normal
-0.7
CPT0006530001
Normal
-0.7
CPT0007870001
Normal
-0.7
CPT0088640003
Normal
-0.7
CPT0066430001
Normal
-0.7
CPT0086970003
Normal
-0.7
CPT0086890003
Normal
-0.7
CPT0025610001
Normal
-0.7
CPT0001350001
Normal
-0.7
CPT0065450001
Normal
-0.7
CPT0089480003
Normal
-0.7
CPT0077140001
Normal
-0.7
CPT0078670001
Normal
-0.7
CPT0088710001
Normal
-0.8
CPT0023710001
Normal
-0.8
CPT0010170001
Normal
-0.8
CPT0000790001
Normal
-0.8
CPT0063640001
Normal
-0.8
CPT0063330001
Normal
-0.8
CPT0001510001
Normal
-0.8
CPT0006950001
Normal
-0.8
CPT0025920001
Normal
-0.8
CPT0000660001
Normal
-0.9
CPT0087050003
Normal
-0.9
CPT0086370003
Normal
-0.9
CPT0012770003
Normal
-0.9
CPT0079000001
Normal
-0.9
CPT0014350001
Normal
-0.9
CPT0078940001
Normal
-0.9
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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
