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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.
RPL26 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
980.8
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
7578.3
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
2510.0
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2223.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
1646.1
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1522.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1451.8
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
1416.5
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1285.5
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1258.6
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1244.1
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1227.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
1206.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
1129.4
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
1128.5
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1124.4
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1085.6
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1079.3
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
1027.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1017.8
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1005.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1001.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
999.6
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
979.2
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
973.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
962.7
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
897.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
889.8
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
888.9
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
877.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
834.0
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
828.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
797.8
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
795.6
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
790.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
789.7
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
776.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
774.0
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
745.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
743.5
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
725.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
724.5
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
687.5
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
672.3
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
652.9
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
626.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
623.7
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
612.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
608.7
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
603.8
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
573.2
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
561.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
558.7
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
557.1
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
534.7
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
514.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
489.4
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
484.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
474.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
465.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
414.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
388.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
370.5
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
315.2
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL26 is potential prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2710.6
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
6472.3
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
6150.6
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
5941.7
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
5605.0
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
5414.5
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
5338.1
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5258.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5246.8
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
5077.5
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5073.7
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
4918.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4864.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4851.6
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4822.7
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4804.3
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
4739.1
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4723.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
4644.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
4639.8
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4618.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4608.1
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
4605.8
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
4590.3
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
4571.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4517.6
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
4495.7
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4457.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
4414.1
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
4400.8
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
4397.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
4377.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
4352.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4280.0
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
4221.3
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4217.9
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
4201.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4152.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
4116.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4115.2
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
4115.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4061.3
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4056.5
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
4026.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4009.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
4009.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
3965.6
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
3964.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3949.1
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
3946.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
3945.8
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3939.4
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3895.4
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3887.9
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
3874.8
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
3848.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
3846.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3837.7
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3786.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3771.1
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
3769.1
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3731.9
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
3717.7
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3711.5
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
3710.4
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3701.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3697.6
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3671.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
3662.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3658.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
3658.0
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
3608.1
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
3604.7
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3604.1
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3601.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
3595.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3549.9
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
3544.3
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3541.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3540.7
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
3523.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
3509.8
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
3501.7
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
3496.1
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
3496.0
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
3493.7
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3490.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
3489.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3488.7
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3488.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
3485.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
3485.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3481.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3479.4
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
3477.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
3459.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3458.5
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
3443.6
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3443.2
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3440.7
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3440.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3436.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
3431.7
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3422.9
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
3421.4
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3419.4
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
3416.0
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3414.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3412.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
3400.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
3392.0
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3387.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
3379.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3352.0
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3349.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3347.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
3343.1
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
3340.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
3337.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
3317.4
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
3316.7
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3312.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
3308.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3304.2
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3304.0
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
3303.8
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3293.2
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
3287.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
3279.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
3271.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
3256.7
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3253.7
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
3239.6
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
3236.6
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3229.8
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
3223.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
3220.8
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
3219.9
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3211.3
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
3207.9
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3206.3
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3198.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
3181.8
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3176.8
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
3174.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
3171.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3170.3
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
3168.6
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
3168.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
3167.9
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
3167.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3157.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
3155.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
3153.7
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3135.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
3135.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3131.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3107.9
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3107.7
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3103.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3099.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
3097.5
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
3094.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
3080.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
3078.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
3072.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3066.0
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3059.8
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
3057.8
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3037.3
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3025.3
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3018.5
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
3015.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
3011.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
3010.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
3006.3
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
3005.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3004.6
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2995.7
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2990.5
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2986.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2976.9
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2976.8
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
2976.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
2970.1
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
2967.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
2966.2
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
2963.9
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
2961.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
2958.6
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2955.9
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2955.5
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2954.4
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2950.2
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2946.4
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2945.5
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2944.2
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2941.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2922.0
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
2912.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
2910.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2908.9
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2906.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2904.4
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
2901.4
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2896.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2894.9
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2893.1
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2890.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2888.8
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
2888.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2883.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2876.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2870.1
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2868.4
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2867.3
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2865.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2857.6
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2851.1
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2848.8
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2837.8
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
2836.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2833.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2829.4
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
2825.3
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2824.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2819.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2814.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2814.2
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2809.5
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
2799.0
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2797.5
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
2788.1
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
2786.3
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2784.0
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
2781.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2779.3
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2779.0
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
2778.2
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2778.1
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2765.5
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2760.8
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2746.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2744.0
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2741.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2735.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2735.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2729.9
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2726.8
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2725.9
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2720.7
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
2719.7
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2719.6
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2718.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2714.6
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2703.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2702.8
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
2698.2
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
2691.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
2687.3
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
2680.9
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2673.3
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2669.5
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2666.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2661.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2660.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
2657.9
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2657.6
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2657.1
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
2656.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
2651.4
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2649.7
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2647.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
2638.7
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2633.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
2630.5
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2627.2
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
2623.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2623.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2620.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2617.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2614.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
2613.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
2610.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2604.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2603.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2603.0
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
2602.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
2598.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2597.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
2593.5
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2593.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
2573.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2568.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2567.6
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
2559.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2551.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
2539.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2539.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2536.4
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2524.0
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
2517.9
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2511.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2503.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2492.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2490.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
2489.0
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2483.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
2482.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2480.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2477.9
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
2477.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2465.9
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
2465.2
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
2460.6
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2458.6
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2455.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2453.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2446.5
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
2445.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2445.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2437.5
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2435.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2432.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2430.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
2426.6
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2420.8
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2419.6
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
2417.7
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2417.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2414.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2408.2
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2405.4
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
2400.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
2399.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2393.3
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2387.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2379.3
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
2378.0
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
2375.7
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2365.5
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2363.6
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2358.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
2353.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
2347.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
2344.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2342.9
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
2340.9
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2328.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
2328.8
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2326.6
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
2314.6
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
2312.4
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
2311.1
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
2300.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2299.7
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
2286.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2285.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
2282.1
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
2276.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2275.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2270.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2270.0
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
2262.1
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2245.4
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2244.6
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
2239.3
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2233.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
2233.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
2232.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2228.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
2211.5
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2209.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2205.8
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2190.8
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2185.3
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2182.8
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2181.0
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
2168.5
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2167.8
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2163.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
2161.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2141.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
2134.6
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
2132.5
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
2130.5
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2113.6
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2106.8
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
2106.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
2099.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2095.5
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2081.5
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2079.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
2063.0
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2058.3
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
2052.7
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2051.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
2048.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
2045.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
2038.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
2032.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
2032.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
2029.5
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
2023.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2002.6
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1997.8
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1995.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
1993.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1977.7
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1977.0
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1961.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1960.0
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1940.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1933.0
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1927.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
1919.3
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1911.3
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
1911.3
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1902.0
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1900.7
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1898.5
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1892.8
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1889.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1866.7
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1861.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1856.6
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1850.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1845.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
1844.5
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
1837.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1829.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1809.4
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1805.8
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1804.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1804.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1787.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1786.8
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1774.5
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1773.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1773.5
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
1771.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1768.8
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1767.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1766.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1762.3
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1760.4
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1753.4
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1749.6
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
1747.9
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1734.9
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1734.5
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1730.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1729.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1668.7
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1664.3
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1651.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
1650.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1636.9
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1634.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
1617.5
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1611.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1607.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1590.6
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1583.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1577.8
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1569.4
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1554.0
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1551.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1517.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1477.6
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1476.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1469.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1467.2
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1457.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1456.1
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1455.5
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1450.0
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1422.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1416.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
1416.1
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1385.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1379.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1361.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
1353.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1309.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
1293.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1268.4
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1263.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1229.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1223.3
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1214.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1212.8
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1209.9
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1169.2
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1163.9
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
1150.9
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1147.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1136.7
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
1136.0
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1132.4
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1123.2
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1123.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1113.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1108.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1106.0
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
1100.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1094.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
1083.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1017.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
998.6
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
949.4
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
940.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
904.4
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
879.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
876.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
860.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
854.5
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
715.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
607.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
554.2
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
548.1
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL26 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
2601.9
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5800.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
5703.1
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
4823.5
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3982.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
3938.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3747.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3746.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
3706.9
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
3608.5
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3601.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
3515.2
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
3489.0
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3406.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3366.2
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3355.4
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
3320.0
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
3289.6
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3280.1
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3254.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
3153.7
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3129.9
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3127.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3108.8
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3084.1
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
2959.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2936.5
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2906.5
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2890.5
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2832.3
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2829.8
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2798.9
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
2796.6
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2784.6
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2723.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
2714.6
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2710.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
2704.8
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2698.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2641.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2620.6
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
2620.0
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2618.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2616.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
2590.8
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2565.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2559.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2538.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2506.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2497.2
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
2460.2
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2448.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2432.3
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2432.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
2432.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
2423.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
2391.0
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
2386.6
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
2384.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
2382.1
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2369.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
2324.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
2323.9
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
2315.3
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
2314.0
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
2309.7
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2308.9
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
2303.0
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
2301.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
2279.4
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2265.5
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2258.5
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
2245.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
2226.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2224.0
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
2216.2
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2209.6
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2203.7
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
2187.4
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
2108.8
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
2047.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2013.7
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1986.8
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1974.5
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1971.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1963.0
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1953.0
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1948.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1831.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1811.9
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1790.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
1723.6
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1699.2
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1470.5
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1394.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1379.2
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1367.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1245.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1081.6
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1037.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 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.
RPL26 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1928.9
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
7209.0
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
6220.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5311.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
5162.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
5024.7
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
4810.3
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4422.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
4147.6
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4074.3
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
4002.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
3967.8
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3961.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
3891.4
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3825.8
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
3743.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3651.2
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
3408.5
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3398.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
3378.1
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3349.1
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
3309.2
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
3251.5
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3234.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3200.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3178.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3147.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
3138.6
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3122.6
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
3084.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3063.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3055.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3050.4
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3004.5
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2986.0
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
2972.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2959.7
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2939.4
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2939.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2932.4
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
2927.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
2912.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2908.6
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2906.2
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2902.5
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
2892.5
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2875.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2847.4
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2833.3
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2814.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2809.4
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
2779.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2775.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
2766.1
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2757.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2728.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2724.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
2710.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2704.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2702.0
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2683.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2672.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2672.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2666.2
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2659.8
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2634.6
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2623.4
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2620.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2615.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2607.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2606.0
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2603.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2522.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2517.4
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2500.7
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2450.4
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2423.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2416.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2391.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
2387.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2386.3
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2374.1
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2366.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2362.6
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
2361.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2346.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2329.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2325.9
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2311.2
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
2310.6
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2303.5
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
2294.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
2294.3
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2279.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
2277.8
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2274.6
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
2270.2
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2264.4
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2244.8
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2239.1
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2233.9
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2224.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
2221.1
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2206.6
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2194.5
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2181.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2180.1
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2179.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
2175.3
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
2161.5
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2161.3
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2154.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
2150.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
2148.0
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
2132.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
2116.2
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2107.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
2104.4
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
2092.1
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2088.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2082.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2078.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
2073.8
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2065.4
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2062.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
2054.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
2051.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2019.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1981.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
1967.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
1962.1
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1951.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1948.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1945.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1944.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1941.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1933.9
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1928.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1912.5
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
1903.5
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1895.1
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1882.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1870.6
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1844.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1843.0
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1804.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1796.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1793.3
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1790.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1790.0
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1786.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
1763.3
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1750.4
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1749.9
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1739.2
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1738.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1721.7
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1720.7
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1714.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
1703.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1698.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1688.9
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1686.0
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1680.7
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1652.5
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1652.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1648.0
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1645.7
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1640.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1629.2
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1628.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1617.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1616.4
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1594.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1592.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
1569.9
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1558.9
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1553.2
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
1543.1
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1540.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1540.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1538.5
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1530.0
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1519.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1512.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1509.5
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1505.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
1495.6
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1483.7
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1470.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1465.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1404.3
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1383.8
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1379.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1375.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1373.1
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1341.1
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1330.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1325.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
1312.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1275.5
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1228.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1226.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
1217.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
1214.4
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1208.3
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1207.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1175.1
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
1169.0
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1149.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1124.4
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1111.4
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1053.9
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1050.0
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1038.1
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1029.4
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1001.8
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
996.0
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
979.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
978.8
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
972.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
954.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
952.4
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
949.7
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
924.8
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
914.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
911.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
900.8
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
895.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
887.3
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
880.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
875.5
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
866.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
857.9
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
856.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
843.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
839.6
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
831.3
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
821.7
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
808.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
802.0
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
796.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
767.5
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
747.2
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
740.7
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
731.3
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
729.6
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
726.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
725.7
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
701.3
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
693.1
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
671.2
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
661.5
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
655.3
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
616.3
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
613.7
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
607.4
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
605.9
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
598.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
590.7
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
586.0
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
577.3
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
564.1
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
563.2
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
551.8
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
539.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
527.8
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
515.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
515.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
504.9
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
492.9
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
491.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
472.6
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
460.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
445.0
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
401.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
395.8
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
391.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
390.8
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
362.0
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
347.0
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
339.1
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
325.2
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001340003
Tumor
1.4
CPT0017850003
Tumor
1.3
CPT0023350003
Tumor
1.2
CPT0088550004
Tumor
1.0
CPT0002350011
Tumor
0.9
CPT0079410003
Tumor
0.8
CPT0086950003
Tumor
0.7
CPT0012550003
Tumor
0.7
CPT0081880003
Tumor
0.7
CPT0012180003
Tumor
0.7
CPT0084560003
Tumor
0.7
CPT0069160003
Tumor
0.7
CPT0092290003
Tumor
0.7
CPT0076330003
Tumor
0.6
CPT0001180009
Tumor
0.6
CPT0025050003
Tumor
0.6
CPT0077490003
Tumor
0.6
CPT0021240003
Tumor
0.6
CPT0088970003
Tumor
0.6
CPT0065430003
Tumor
0.6
CPT0075130003
Tumor
0.5
CPT0063630003
Tumor
0.5
CPT0011410003
Tumor
0.5
CPT0010160003
Tumor
0.5
CPT0088760003
Tumor
0.5
CPT0009000003
Tumor
0.5
CPT0092730003
Tumor
0.5
CPT0086030003
Tumor
0.4
CPT0077320001
Normal
0.4
CPT0019990003
Tumor
0.4
CPT0026410003
Tumor
0.4
CPT0024680001
Normal
0.4
CPT0069000003
Tumor
0.4
CPT0015730003
Tumor
0.4
CPT0078800003
Tumor
0.4
CPT0088690003
Tumor
0.4
CPT0024670003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0065930003
Tumor
0.3
CPT0079480003
Tumor
0.3
CPT0071150004
Tumor
0.3
CPT0066470004
Tumor
0.3
CPT0084590001
Normal
0.3
CPT0086820003
Tumor
0.3
CPT0089460004
Tumor
0.3
CPT0014450004
Tumor
0.3
CPT0001270001
Normal
0.3
CPT0002270011
Tumor
0.2
CPT0025060001
Normal
0.2
CPT0025170003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0076350001
Normal
0.2
CPT0081600003
Tumor
0.2
CPT0088900003
Tumor
0.2
CPT0012900004
Tumor
0.2
CPT0092190003
Normal
0.2
CPT0012670003
Tumor
0.2
CPT0075170001
Normal
0.2
CPT0077110003
Tumor
0.2
CPT0001220008
Tumor
0.2
CPT0012370003
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0085670003
Tumor
0.2
CPT0086970003
Normal
0.2
CPT0025880003
Tumor
0.2
CPT0001540009
Tumor
0.2
CPT0078830003
Tumor
0.1
CPT0088480003
Tumor
0.1
CPT0025290003
Tumor
0.1
CPT0089020003
Tumor
0.1
CPT0078660003
Tumor
0.1
CPT0069190001
Normal
0.1
CPT0077500001
Normal
0.1
CPT0001500009
Tumor
0.1
CPT0020130001
Normal
0.1
CPT0079230003
Tumor
0.1
CPT0015810003
Tumor
0.1
CPT0006630003
Tumor
0.1
CPT0065750003
Tumor
0.1
CPT0092790003
Tumor
0.1
CPT0010120001
Normal
0.1
CPT0012280003
Tumor
0.1
CPT0025350003
Tumor
0.0
CPT0025110003
Tumor
0.0
CPT0088630003
Tumor
0.0
CPT0013790003
Normal
0.0
CPT0079510001
Normal
0.0
CPT0012080003
Tumor
0.0
CPT0014160003
Tumor
0.0
CPT0020120003
Tumor
0.0
CPT0079380003
Tumor
0.0
CPT0078530001
Normal
0.0
CPT0075570001
Normal
0.0
CPT0012920003
Normal
0.0
CPT0001190001
Normal
0.0
CPT0010110003
Tumor
0.0
CPT0001350001
Normal
0.0
CPT0078510003
Tumor
0.0
CPT0023360001
Normal
0.0
CPT0082010001
Normal
0.0
CPT0014130001
Normal
0.0
CPT0000640003
Tumor
0.0
CPT0092800003
Normal
0.0
CPT0012570003
Normal
0.0
CPT0069010001
Normal
-0.1
CPT0086360003
Tumor
-0.1
CPT0019130003
Tumor
-0.1
CPT0088920001
Normal
-0.1
CPT0075720003
Tumor
-0.1
CPT0086870003
Tumor
-0.1
CPT0077310003
Tumor
-0.1
CPT0007320003
Tumor
-0.1
CPT0088570001
Normal
-0.1
CPT0012290003
Normal
-0.1
CPT0078990003
Tumor
-0.1
CPT0089480003
Normal
-0.1
CPT0025580004
Tumor
-0.1
CPT0011240003
Tumor
-0.1
CPT0063320003
Tumor
-0.1
CPT0086830003
Normal
-0.1
CPT0000780007
Tumor
-0.1
CPT0086890003
Normal
-0.1
CPT0089040001
Normal
-0.1
CPT0079300001
Normal
-0.1
CPT0092740003
Normal
-0.1
CPT0063640001
Normal
-0.1
CPT0065690003
Tumor
-0.1
CPT0088780001
Normal
-0.1
CPT0007470001
Normal
-0.2
CPT0014370004
Tumor
-0.2
CPT0065870003
Tumor
-0.2
CPT0092310003
Normal
-0.2
CPT0018250001
Normal
-0.2
CPT0092160003
Tumor
-0.2
CPT0079270003
Tumor
-0.2
CPT0065450001
Normal
-0.2
CPT0065810003
Tumor
-0.2
CPT0015910003
Tumor
-0.2
CPT0079430001
Normal
-0.2
CPT0087050003
Normal
-0.2
CPT0014470001
Normal
-0.2
CPT0066430001
Normal
-0.2
CPT0079180003
Tumor
-0.2
CPT0000870016
Tumor
-0.2
CPT0078840001
Normal
-0.2
CPT0025610001
Normal
-0.2
CPT0081620001
Normal
-0.2
CPT0077140001
Normal
-0.2
CPT0087040003
Tumor
-0.2
CPT0065820001
Normal
-0.2
CPT0063330001
Normal
-0.2
CPT0006900003
Tumor
-0.2
CPT0088640003
Normal
-0.2
CPT0086370003
Normal
-0.2
CPT0023710001
Normal
-0.3
CPT0012090003
Normal
-0.3
CPT0088710001
Normal
-0.3
CPT0002370001
Normal
-0.3
CPT0000890001
Normal
-0.3
CPT0007860003
Tumor
-0.3
CPT0006440003
Tumor
-0.3
CPT0017410003
Tumor
-0.3
CPT0026420001
Normal
-0.3
CPT0066480003
Tumor
-0.3
CPT0007870001
Normal
-0.3
CPT0017450001
Normal
-0.3
CPT0006730001
Normal
-0.3
CPT0066520001
Normal
-0.3
CPT0014350001
Normal
-0.3
CPT0020020001
Normal
-0.3
CPT0009020003
Normal
-0.3
CPT0010170001
Normal
-0.3
CPT0023690003
Tumor
-0.3
CPT0088500001
Normal
-0.3
CPT0078670001
Normal
-0.3
CPT0006950001
Normal
-0.3
CPT0078940001
Normal
-0.3
CPT0000790001
Normal
-0.3
CPT0019160001
Normal
-0.3
CPT0012640003
Normal
-0.4
CPT0075560003
Tumor
-0.4
CPT0001550001
Normal
-0.4
CPT0001510001
Normal
-0.4
CPT0078930003
Tumor
-0.4
CPT0000660001
Normal
-0.4
CPT0025920001
Normal
-0.4
CPT0009060003
Tumor
-0.4
CPT0006530001
Normal
-0.4
CPT0064400001
Normal
-0.4
CPT0064370003
Tumor
-0.5
CPT0079000001
Normal
-0.5
CPT0012770003
Normal
-0.6
CPT0001230001
Normal
-0.6
CPT0009080003
Normal
-0.6
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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
