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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.
RPL24 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
999.6
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
3116.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
2734.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
2727.1
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
2664.2
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2136.8
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
2044.0
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2003.7
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1983.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1913.4
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1779.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1774.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1770.2
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1654.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1608.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
1562.6
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1517.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
1495.4
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1473.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1463.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
1223.7
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1214.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1197.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
1176.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
1131.8
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1058.0
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
999.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
983.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
975.6
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
958.1
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
929.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
897.4
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
894.5
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
818.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
783.5
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
778.1
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
763.5
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
690.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
667.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
655.6
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
639.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
567.1
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
540.9
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
535.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
526.4
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
450.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
436.9
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
392.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
380.1
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
361.9
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
334.7
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
280.8
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
278.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
270.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
254.5
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
245.6
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
195.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
176.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
173.1
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
171.7
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
138.5
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
135.0
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
124.2
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
78.4
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 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.
RPL24 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1978.7
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
7598.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
7135.8
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
5634.2
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
5598.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
5207.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4931.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4910.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4889.3
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
4865.4
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
4812.0
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
4748.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
4627.7
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
4385.0
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
4359.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
4346.9
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
4166.1
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
4036.1
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3959.4
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
3953.7
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
3771.0
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
3755.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3746.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
3736.4
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
3698.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3607.0
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
3551.5
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3547.9
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
3533.2
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
3507.3
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
3477.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3470.5
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
3468.4
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3442.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3414.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
3381.3
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3336.0
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
3334.2
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3307.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3282.4
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
3275.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
3240.9
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3218.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
3204.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3143.8
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3077.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
3072.3
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
3056.8
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
3054.7
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3052.7
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
3041.7
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3040.5
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
3024.3
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3008.8
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2997.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
2995.1
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2993.4
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
2992.2
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2957.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
2907.5
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
2873.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2872.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2866.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
2849.7
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2826.5
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2815.5
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2813.5
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2800.5
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
2795.1
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
2741.1
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
2739.7
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
2709.5
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2663.8
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2654.1
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2639.0
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2626.1
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2623.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
2610.3
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2607.0
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
2602.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2597.6
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
2596.3
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
2573.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2532.7
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
2531.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2529.2
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
2502.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2498.6
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
2496.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
2491.6
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2490.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2489.7
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2488.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
2482.8
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2477.8
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2468.1
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2459.3
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2433.6
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
2428.4
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2417.9
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
2414.5
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
2407.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2405.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2404.9
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
2402.6
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2402.0
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
2400.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
2396.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2393.8
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2391.6
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
2389.3
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2382.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2381.7
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2377.4
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2376.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2373.4
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
2373.3
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
2372.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
2369.3
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
2365.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2365.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2365.0
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2350.9
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
2345.4
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2331.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2330.1
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
2328.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2326.2
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
2324.3
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
2319.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
2311.1
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
2297.5
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
2263.8
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2258.9
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2253.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
2252.9
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2250.5
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2245.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2244.6
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
2241.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2241.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2232.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
2207.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
2206.6
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2205.5
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2201.1
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
2197.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
2186.0
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2184.0
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2183.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2183.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2182.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
2180.3
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
2179.2
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2177.7
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
2176.9
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2172.5
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
2170.8
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2167.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2167.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
2165.2
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
2163.4
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2161.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2160.1
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
2157.6
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2152.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
2147.7
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2145.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2144.3
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
2140.2
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
2138.1
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2137.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2133.0
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
2127.4
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2125.3
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2125.3
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
2124.4
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2117.9
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
2117.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2114.7
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2113.5
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2113.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2111.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2101.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2099.2
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2074.8
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2072.8
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2069.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2068.1
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
2067.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
2067.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2056.9
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
2053.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
2049.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
2046.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2041.1
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
2036.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
2031.2
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2029.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
2023.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2014.0
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2000.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2000.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
1998.1
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1995.4
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1984.2
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
1979.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
1978.6
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
1972.7
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1970.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
1968.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
1965.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1959.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
1959.5
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1958.7
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1958.6
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1949.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1947.5
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1945.8
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
1945.5
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
1943.5
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1926.2
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
1925.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1925.2
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1914.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
1910.4
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
1907.3
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
1900.4
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1900.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
1898.5
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
1892.5
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1892.3
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1888.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1887.2
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
1887.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1884.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
1881.0
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1879.6
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1876.7
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1876.1
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
1875.8
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
1872.8
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
1871.4
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1862.7
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1855.5
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
1854.4
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
1852.3
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1849.3
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1846.2
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1845.4
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1844.3
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1832.8
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
1832.3
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1822.4
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1822.3
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1819.9
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
1819.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1817.5
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1815.9
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1815.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1812.5
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1806.7
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
1803.9
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
1803.5
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1801.8
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1799.6
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1796.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
1795.8
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1790.3
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1785.6
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
1780.5
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
1776.1
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1775.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1770.8
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
1765.6
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1765.0
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1764.3
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
1763.2
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1762.9
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
1762.7
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1760.2
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1758.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
1752.7
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
1751.0
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1747.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
1739.8
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1739.6
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1739.4
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1737.2
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1736.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1734.1
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1732.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1731.6
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
1729.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1725.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
1725.4
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
1720.6
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1719.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
1718.2
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1717.1
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
1714.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1711.0
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
1710.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1703.5
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1699.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
1698.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
1693.6
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1693.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
1690.0
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1684.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
1683.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1682.1
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1675.8
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
1674.0
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1673.7
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1673.0
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1670.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1670.4
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1668.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1665.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1661.4
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1657.4
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1656.4
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1653.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1649.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
1648.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1640.6
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
1632.8
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
1628.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
1624.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
1623.5
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1613.6
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
1610.0
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1606.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1605.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1600.9
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1599.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1597.8
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
1596.0
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1595.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1593.9
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
1591.1
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1590.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
1582.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1581.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
1578.1
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1576.9
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1567.0
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1557.9
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
1551.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
1547.3
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
1545.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1542.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
1540.0
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
1538.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
1534.2
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
1532.9
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1531.6
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1530.3
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1529.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
1527.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1527.3
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1526.1
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
1524.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1521.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1516.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1515.8
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
1515.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1512.3
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1511.3
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1507.1
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1506.8
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1503.4
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
1503.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1503.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1500.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1499.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1495.2
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
1481.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
1479.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
1478.3
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1473.6
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
1461.3
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
1457.5
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1456.7
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1452.8
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
1449.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
1446.8
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1445.8
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
1445.7
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1440.1
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1436.5
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1430.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1430.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1428.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1425.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
1423.4
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1423.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1420.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
1418.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1417.5
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1414.2
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1414.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
1413.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1410.7
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1410.5
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1408.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
1406.3
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1387.6
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1385.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1376.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1371.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
1364.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
1364.1
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1362.6
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1362.1
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
1360.6
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
1360.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1359.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
1354.6
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1350.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
1329.8
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1324.3
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1316.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1314.4
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
1312.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
1311.3
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1309.2
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1306.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
1302.3
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
1301.6
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1294.3
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1292.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1291.7
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1290.5
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1286.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1282.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1281.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1281.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
1280.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1268.8
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1258.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
1256.2
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1246.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1232.8
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
1231.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1220.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1219.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1216.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1213.0
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1212.8
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1205.0
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
1203.6
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1199.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1197.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1193.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1193.2
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1189.9
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1182.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1179.6
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1168.1
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1165.1
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1164.8
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1162.6
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
1157.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1155.0
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
1154.7
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1148.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1145.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
1139.7
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1135.6
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1125.3
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1119.7
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1114.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1109.4
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1108.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1102.3
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1075.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1067.1
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1062.0
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1059.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1059.1
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1056.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1046.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1034.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1024.3
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1021.8
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
1020.9
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1000.5
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
999.0
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
996.9
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
996.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
994.5
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
991.9
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
989.4
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
960.7
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
957.7
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
951.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
949.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
928.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
920.9
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
908.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
902.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
896.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
881.8
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
874.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
867.8
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
846.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
843.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
829.1
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
814.0
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
780.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
745.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
743.8
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
742.8
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
676.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
658.8
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
641.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
620.7
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
578.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
566.7
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 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.
RPL24 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
1669.6
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3591.6
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3534.5
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
3523.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3253.7
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
3213.4
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
3092.3
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3021.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
2973.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
2890.4
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
2843.5
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
2801.5
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2545.0
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
2379.9
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
2326.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2295.2
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
2289.5
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2227.2
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2198.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2196.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2187.2
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
2149.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2138.9
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
2099.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2010.8
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1990.7
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1990.0
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
1984.3
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1984.0
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1981.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1959.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1881.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1863.0
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1862.6
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1832.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1828.8
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1810.9
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1787.0
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1781.5
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1769.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
1729.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1715.2
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1697.3
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1667.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1642.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1624.5
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1586.5
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1573.8
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
1558.8
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
1546.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1540.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
1538.4
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1520.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1487.4
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1461.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1443.0
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1415.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1406.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
1397.4
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1368.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1340.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1296.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1268.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1260.5
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
1240.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
1238.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1233.5
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1217.6
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1205.9
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1189.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
1188.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
1176.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1165.1
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1158.5
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
1149.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1146.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1129.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1129.1
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1127.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
1105.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1093.6
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1092.2
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1072.5
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1060.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1056.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1053.1
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1041.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1039.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1029.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
1022.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1015.4
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
963.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
958.5
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
932.6
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
919.0
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
863.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
833.1
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
795.2
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
762.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
719.8
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL24 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
1416.1
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4723.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4178.4
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4122.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3980.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3943.3
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3853.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3394.9
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3247.7
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3114.4
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
3097.1
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3080.0
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3032.1
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2945.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
2921.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
2851.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2836.9
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2818.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2809.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2762.2
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2726.2
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2716.7
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
2704.1
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2699.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2674.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2634.8
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2619.4
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2617.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2597.3
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2577.4
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
2552.2
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
2503.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2482.4
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
2476.0
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2458.8
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
2406.1
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2405.5
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2399.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
2392.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2370.5
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2353.2
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2339.7
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
2327.8
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2320.1
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2298.4
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2283.2
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2270.9
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
2267.9
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2265.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
2264.4
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2260.8
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2258.6
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2212.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2207.0
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
2206.8
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
2120.8
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2110.1
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
2109.1
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2087.0
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
2062.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2057.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2049.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2038.7
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2018.3
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
2017.4
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1995.1
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
1986.7
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
1978.5
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1949.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
1935.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
1927.2
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1921.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1912.5
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1908.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
1887.3
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1873.0
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
1873.0
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1870.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1860.3
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
1852.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1844.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1837.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
1825.0
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1795.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
1780.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1777.8
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1771.2
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1760.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1758.6
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
1758.1
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
1743.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1738.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
1736.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1736.1
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1727.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1715.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1709.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
1703.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1694.4
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1680.0
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1679.2
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1675.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
1654.1
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1653.0
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
1652.4
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1639.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1634.6
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1630.9
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
1611.9
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
1605.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1603.2
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1600.0
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
1595.7
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
1591.2
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1589.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1588.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
1587.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1574.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
1571.9
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1562.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1554.5
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1547.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1530.9
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1520.6
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1498.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
1495.2
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1489.8
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1488.4
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1480.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1455.6
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
1448.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1448.7
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1446.4
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
1445.2
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1443.4
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1442.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1441.6
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1436.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1427.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1423.7
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
1416.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1412.3
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1404.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1393.5
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1368.7
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1347.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1344.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1344.6
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
1321.1
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
1317.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1314.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1305.0
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
1303.8
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1295.0
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
1278.1
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1278.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1273.9
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1273.3
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1272.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1269.2
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
1268.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
1262.9
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1258.3
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
1250.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1246.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1246.1
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
1221.8
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
1211.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1201.9
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1191.2
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1186.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1185.3
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1156.9
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1153.8
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1153.8
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
1147.8
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
1140.4
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1137.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1133.0
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
1124.7
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1111.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1095.7
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1085.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1084.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1083.8
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1082.6
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
1051.5
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
1040.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
1030.2
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1027.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1022.2
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1017.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1012.2
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
991.5
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
969.4
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
965.1
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
964.3
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
962.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
959.5
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
949.3
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
945.3
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
939.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
917.3
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
914.5
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
914.2
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
913.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
892.5
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
850.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
835.8
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
816.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
786.6
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
734.9
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
662.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
626.9
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
625.4
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
562.6
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
520.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
508.3
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
503.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
498.7
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
498.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
498.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
493.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
465.7
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
464.0
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
448.7
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
411.0
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
410.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
409.5
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
381.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
378.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
373.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
371.1
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
365.0
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
364.7
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
359.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
352.6
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
348.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
344.6
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
331.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
331.0
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
330.9
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
327.9
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
326.4
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
320.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
316.3
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
316.1
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
314.0
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
309.2
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
304.6
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
301.8
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
301.7
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
292.7
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
264.3
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
263.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
260.6
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
259.5
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
257.0
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
250.4
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
242.8
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
241.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
238.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
218.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
218.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
215.8
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
213.7
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
213.6
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
212.9
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
212.2
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
210.3
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
204.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
204.5
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
189.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
187.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
186.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
182.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
176.9
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
176.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
170.7
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
168.1
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
151.1
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
113.8
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
67.5
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0023350003
Tumor
1.6
CPT0001340003
Tumor
1.4
CPT0079410003
Tumor
1.4
CPT0081880003
Tumor
1.2
CPT0065930003
Tumor
1.1
CPT0002350011
Tumor
1.1
CPT0086950003
Tumor
1.1
CPT0088550004
Tumor
1.1
CPT0076330003
Tumor
1.1
CPT0025050003
Tumor
1.0
CPT0088970003
Tumor
1.0
CPT0092290003
Tumor
1.0
CPT0079480003
Tumor
1.0
CPT0012550003
Tumor
0.9
CPT0066470004
Tumor
0.8
CPT0092730003
Tumor
0.8
CPT0084560003
Tumor
0.8
CPT0063630003
Tumor
0.8
CPT0085670003
Tumor
0.8
CPT0071150004
Tumor
0.7
CPT0086030003
Tumor
0.7
CPT0088760003
Tumor
0.7
CPT0025230003
Tumor
0.7
CPT0065430003
Tumor
0.6
CPT0077490003
Tumor
0.6
CPT0010160003
Tumor
0.6
CPT0089020003
Tumor
0.6
CPT0075130003
Tumor
0.6
CPT0025170003
Tumor
0.5
CPT0089460004
Tumor
0.5
CPT0011410003
Tumor
0.5
CPT0065690003
Tumor
0.5
CPT0088690003
Tumor
0.5
CPT0019990003
Tumor
0.5
CPT0001180009
Tumor
0.5
CPT0088900003
Tumor
0.5
CPT0077320001
Normal
0.5
CPT0025350003
Tumor
0.5
CPT0015730003
Tumor
0.5
CPT0078830003
Tumor
0.5
CPT0001220008
Tumor
0.4
CPT0012180003
Tumor
0.4
CPT0092790003
Tumor
0.4
CPT0001260009
Tumor
0.4
CPT0014160003
Tumor
0.4
CPT0081600003
Tumor
0.4
CPT0009000003
Tumor
0.4
CPT0025290003
Tumor
0.4
CPT0088630003
Tumor
0.4
CPT0086820003
Tumor
0.3
CPT0092190003
Normal
0.3
CPT0086970003
Normal
0.3
CPT0078800003
Tumor
0.3
CPT0001540009
Tumor
0.3
CPT0015810003
Tumor
0.3
CPT0000640003
Tumor
0.3
CPT0078990003
Tumor
0.3
CPT0002270011
Tumor
0.3
CPT0088480003
Tumor
0.3
CPT0012370003
Tumor
0.3
CPT0025880003
Tumor
0.3
CPT0086870003
Tumor
0.3
CPT0001500009
Tumor
0.2
CPT0024670003
Tumor
0.2
CPT0017850003
Tumor
0.2
CPT0021240003
Tumor
0.2
CPT0084590001
Normal
0.2
CPT0026410003
Tumor
0.2
CPT0025580004
Tumor
0.2
CPT0088570001
Normal
0.2
CPT0087040003
Tumor
0.2
CPT0075720003
Tumor
0.1
CPT0088920001
Normal
0.1
CPT0069160003
Tumor
0.1
CPT0000780007
Tumor
0.1
CPT0078660003
Tumor
0.1
CPT0012670003
Tumor
0.1
CPT0020120003
Tumor
0.1
CPT0079230003
Tumor
0.1
CPT0075170001
Normal
0.1
CPT0025110003
Tumor
0.1
CPT0077310003
Tumor
0.1
CPT0063320003
Tumor
0.1
CPT0019130003
Tumor
0.0
CPT0025060001
Normal
0.0
CPT0014370004
Tumor
0.0
CPT0014450004
Tumor
0.0
CPT0007860003
Tumor
0.0
CPT0079380003
Tumor
0.0
CPT0092800003
Normal
0.0
CPT0007320003
Tumor
0.0
CPT0065870003
Tumor
0.0
CPT0006630003
Tumor
0.0
CPT0077110003
Tumor
0.0
CPT0065750003
Tumor
0.0
CPT0079180003
Tumor
0.0
CPT0001270001
Normal
0.0
CPT0086360003
Tumor
-0.1
CPT0024680001
Normal
-0.1
CPT0010120001
Normal
-0.1
CPT0092160003
Tumor
-0.1
CPT0065820001
Normal
-0.1
CPT0076350001
Normal
-0.1
CPT0014470001
Normal
-0.1
CPT0020130001
Normal
-0.1
CPT0079510001
Normal
-0.1
CPT0012080003
Tumor
-0.1
CPT0078930003
Tumor
-0.1
CPT0023690003
Tumor
-0.2
CPT0017410003
Tumor
-0.2
CPT0000870016
Tumor
-0.2
CPT0001350001
Normal
-0.2
CPT0065810003
Tumor
-0.2
CPT0069000003
Tumor
-0.2
CPT0081990003
Tumor
-0.2
CPT0069190001
Normal
-0.2
CPT0077500001
Normal
-0.2
CPT0066480003
Tumor
-0.2
CPT0007470001
Normal
-0.2
CPT0066520001
Normal
-0.2
CPT0064370003
Tumor
-0.2
CPT0087050003
Normal
-0.3
CPT0013790003
Normal
-0.3
CPT0001510001
Normal
-0.3
CPT0092740003
Normal
-0.3
CPT0023360001
Normal
-0.3
CPT0012090003
Normal
-0.3
CPT0088780001
Normal
-0.3
CPT0089480003
Normal
-0.3
CPT0015910003
Tumor
-0.3
CPT0079300001
Normal
-0.3
CPT0088640003
Normal
-0.4
CPT0010110003
Tumor
-0.4
CPT0075570001
Normal
-0.4
CPT0014130001
Normal
-0.4
CPT0026420001
Normal
-0.4
CPT0086830003
Normal
-0.4
CPT0000890001
Normal
-0.4
CPT0079270003
Tumor
-0.4
CPT0081620001
Normal
-0.4
CPT0006730001
Normal
-0.4
CPT0007870001
Normal
-0.4
CPT0006900003
Tumor
-0.4
CPT0086370003
Normal
-0.5
CPT0006440003
Tumor
-0.5
CPT0078840001
Normal
-0.5
CPT0011240003
Tumor
-0.5
CPT0077140001
Normal
-0.5
CPT0065450001
Normal
-0.5
CPT0018250001
Normal
-0.5
CPT0012280003
Tumor
-0.5
CPT0012290003
Normal
-0.5
CPT0088710001
Normal
-0.5
CPT0086890003
Normal
-0.5
CPT0089040001
Normal
-0.6
CPT0069010001
Normal
-0.6
CPT0001190001
Normal
-0.6
CPT0092310003
Normal
-0.6
CPT0001550001
Normal
-0.6
CPT0019160001
Normal
-0.6
CPT0079430001
Normal
-0.6
CPT0025920001
Normal
-0.6
CPT0014350001
Normal
-0.6
CPT0023710001
Normal
-0.6
CPT0078670001
Normal
-0.6
CPT0075560003
Tumor
-0.6
CPT0063330001
Normal
-0.6
CPT0002370001
Normal
-0.6
CPT0012570003
Normal
-0.7
CPT0012920003
Normal
-0.7
CPT0000790001
Normal
-0.7
CPT0006950001
Normal
-0.7
CPT0012900004
Tumor
-0.7
CPT0066430001
Normal
-0.7
CPT0020020001
Normal
-0.7
CPT0082010001
Normal
-0.7
CPT0012640003
Normal
-0.7
CPT0009020003
Normal
-0.7
CPT0064400001
Normal
-0.7
CPT0088500001
Normal
-0.8
CPT0063640001
Normal
-0.8
CPT0078530001
Normal
-0.8
CPT0010170001
Normal
-0.8
CPT0078940001
Normal
-0.8
CPT0025610001
Normal
-0.8
CPT0000660001
Normal
-0.9
CPT0006530001
Normal
-1.0
CPT0001230001
Normal
-1.0
CPT0078510003
Tumor
-1.0
CPT0012770003
Normal
-1.0
CPT0009080003
Normal
-1.0
CPT0079000001
Normal
-1.1
CPT0009060003
Tumor
-1.1
CPT0017450001
Normal
-1.2
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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
