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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.
CD24 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
672.3
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
4435.5
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
2357.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
2093.9
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1805.5
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
1697.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1668.9
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1626.0
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1417.8
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1093.7
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
1067.4
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
1031.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
956.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
910.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
878.9
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
853.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
829.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
794.9
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
789.0
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
768.7
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
742.9
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
726.9
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
645.9
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
602.9
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
597.5
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
564.0
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
561.8
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
559.1
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
549.9
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
510.5
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
462.0
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
449.0
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
430.2
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
425.0
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
424.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
415.8
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
413.0
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
412.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
389.9
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
377.4
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
361.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
359.9
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
346.6
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
342.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
321.5
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
308.5
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
300.9
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
299.0
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
288.2
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
279.1
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
256.3
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
246.3
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
245.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
231.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
211.3
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
207.8
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
198.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
186.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
169.8
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
168.5
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
113.1
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
112.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
108.2
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
28.1
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 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.
CD24 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
1553.3
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
7068.1
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
6434.1
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
5540.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
5364.9
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5268.0
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
4562.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
4546.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
4525.1
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
4494.0
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
4459.9
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
4403.6
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
4389.4
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
4301.8
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
3995.6
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
3878.3
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3860.0
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
3707.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
3645.7
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
3639.0
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3521.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
3484.0
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3480.5
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3454.2
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3388.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3313.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
3286.2
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
3274.9
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
3251.7
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
3171.1
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
3166.9
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3151.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
3075.7
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
3060.9
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3042.6
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3042.2
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3038.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
3033.8
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
2981.9
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
2966.9
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2966.2
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
2940.4
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
2929.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
2904.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
2899.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
2863.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2862.3
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2774.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2771.9
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2738.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
2732.4
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2720.0
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
2705.6
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
2700.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2681.1
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
2666.8
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
2641.6
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
2640.5
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
2629.1
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2619.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
2611.1
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2606.9
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
2599.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
2583.8
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
2575.8
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
2562.7
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
2540.0
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
2538.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
2533.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2523.1
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2500.7
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
2479.1
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2474.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
2472.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
2467.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
2464.8
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
2447.1
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
2443.4
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2440.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
2408.0
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
2406.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
2401.9
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2395.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
2394.8
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
2390.1
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2367.9
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
2364.4
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
2354.8
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2341.9
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
2327.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2322.7
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2318.4
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
2263.1
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2252.1
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2226.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
2224.6
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
2223.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
2219.7
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
2218.8
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2216.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2215.9
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2209.7
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
2198.6
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
2198.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
2183.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2162.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
2152.7
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2150.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2145.1
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
2141.3
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
2139.0
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2130.3
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
2120.0
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2112.1
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
2095.6
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
2089.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2089.1
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
2087.6
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
2081.9
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2078.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2066.1
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2062.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
2051.5
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2050.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
2045.6
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
2044.8
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2030.7
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
2027.4
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2017.9
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
2017.2
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2011.3
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
1980.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1975.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
1974.0
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1973.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1959.3
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1955.0
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1954.1
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1953.5
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1952.3
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1943.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
1935.5
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1934.8
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
1926.3
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1925.2
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
1923.4
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
1920.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
1918.1
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1903.0
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1902.8
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1901.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
1898.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
1898.0
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1896.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1895.7
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
1895.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1894.6
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1893.1
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1890.7
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
1887.0
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
1885.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1884.1
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1876.0
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
1874.1
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
1868.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
1868.0
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1865.7
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
1853.6
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1852.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
1850.1
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
1846.0
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1843.4
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1842.1
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
1822.5
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1820.8
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
1816.7
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1814.6
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
1808.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
1795.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1790.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1767.6
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
1761.7
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1761.6
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1755.7
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
1753.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1748.5
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
1746.2
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
1744.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
1737.3
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1704.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1694.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
1694.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1692.2
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
1685.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
1682.3
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1668.9
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1668.4
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1659.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1650.4
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1626.9
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1624.0
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1622.8
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
1612.1
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1607.0
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1601.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1590.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1585.4
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
1581.1
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
1573.9
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1568.6
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
1567.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
1559.8
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1558.6
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1554.5
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
1549.2
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1549.0
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1542.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
1533.3
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1532.6
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
1531.1
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
1530.8
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
1530.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
1521.2
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
1519.0
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1516.2
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
1512.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1509.9
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
1503.1
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1494.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
1493.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1493.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
1489.4
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
1485.9
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1482.2
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1479.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1472.0
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1471.8
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
1470.4
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1470.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
1467.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1465.0
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1462.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
1453.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1444.0
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1437.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
1436.2
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
1434.9
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
1429.1
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
1428.3
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1427.0
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1421.8
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
1420.0
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1415.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
1408.5
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1406.8
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
1406.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1405.3
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1399.6
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
1396.6
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
1390.5
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
1388.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1384.2
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1381.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
1365.5
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1363.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1350.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
1347.3
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
1337.0
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
1336.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1318.5
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1315.4
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1312.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
1310.7
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1310.2
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
1307.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
1307.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1304.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
1303.4
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1295.2
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1293.9
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
1292.5
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1290.2
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1286.6
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
1284.9
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
1284.1
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1281.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
1273.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1271.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
1260.4
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1259.2
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1257.9
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1245.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1244.5
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
1243.8
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
1231.2
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
1225.4
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1225.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1224.3
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
1222.8
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1205.5
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
1204.2
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1195.3
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
1194.8
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1189.4
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
1186.4
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
1182.6
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
1182.2
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
1181.0
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1180.6
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
1173.0
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1168.7
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1167.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1167.5
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1161.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
1158.8
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1158.0
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1155.3
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1139.1
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
1136.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
1130.1
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1128.1
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1127.3
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1119.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1113.1
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
1113.0
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
1109.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1108.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
1102.8
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
1099.3
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1098.0
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
1086.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
1084.1
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
1083.0
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1078.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
1077.6
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
1076.7
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1071.0
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
1065.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
1064.7
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1064.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
1064.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1055.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1047.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
1047.6
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1040.2
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1038.9
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1036.7
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
1031.6
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1020.0
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1014.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
1011.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
1008.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1008.3
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1006.2
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
1004.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1004.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
1002.6
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1001.3
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
999.9
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
999.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
999.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
993.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
987.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
977.8
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
975.0
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
973.4
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
972.8
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
972.1
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
971.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
967.2
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
957.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
949.6
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
946.9
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
939.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
938.7
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
938.4
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
938.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
936.6
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
935.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
930.7
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
930.0
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
928.2
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
920.2
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
918.3
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
913.4
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
908.0
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
901.6
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
895.7
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
895.4
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
893.1
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
890.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
889.5
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
884.6
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
880.5
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
877.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
876.1
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
875.2
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
871.3
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
867.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
865.9
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
857.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
857.2
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
856.8
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
853.9
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
841.0
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
835.1
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
828.2
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
826.6
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
821.4
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
819.3
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
815.7
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
815.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
810.1
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
803.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
801.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
797.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
790.0
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
789.8
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
781.4
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
779.1
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
771.7
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
762.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
761.2
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
759.9
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
754.7
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
754.4
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
749.8
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
747.0
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
743.9
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
736.5
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
734.7
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
732.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
732.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
728.1
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
727.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
716.2
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
705.9
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
704.4
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
697.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
697.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
694.2
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
692.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
674.1
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
671.3
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
669.9
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
666.4
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
657.3
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
656.5
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
651.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
640.7
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
636.8
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
635.1
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
631.6
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
631.4
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
628.9
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
627.8
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
611.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
605.6
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
605.1
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
603.9
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
597.5
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
589.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
589.0
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
583.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
582.4
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
575.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
573.8
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
572.7
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
569.0
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
563.7
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
559.1
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
553.9
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
549.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
548.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
544.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
543.5
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
540.9
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
539.2
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
525.6
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
515.1
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
508.1
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
503.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
496.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
485.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
480.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
475.5
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
468.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
467.4
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
463.8
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
463.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
450.7
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
444.3
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
443.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
429.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
416.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
414.9
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
398.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
386.1
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
384.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
381.3
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
381.3
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
355.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
335.6
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
303.8
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
297.9
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
292.3
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
285.8
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
285.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
269.4
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
255.3
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
250.7
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
206.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
204.0
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
192.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
137.1
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
133.2
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
75.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
72.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
30.0
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
15.2
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
6.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 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.
CD24 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
2057.1
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
5052.2
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
4886.9
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4577.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
4381.0
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
4036.5
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
3937.1
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3880.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
3878.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
3864.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
3730.0
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3702.7
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3629.7
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
3619.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
3496.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3479.6
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3434.8
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
3314.1
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
3215.1
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3008.9
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
2941.6
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
2880.4
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2818.1
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2816.0
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2767.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
2708.2
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
2685.9
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
2681.6
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
2668.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
2525.2
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
2516.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2496.0
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2436.8
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2381.2
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
2321.3
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2320.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
2293.7
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2282.1
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2279.9
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
2181.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2153.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
2086.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
2066.0
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
2045.0
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2004.4
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
2001.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1977.7
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1969.2
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1961.1
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
1936.9
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1933.7
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1927.9
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1923.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1908.2
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1904.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1877.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1863.6
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
1848.4
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1793.3
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
1749.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1707.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1698.7
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1683.0
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
1650.0
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
1559.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1537.0
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1467.5
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1462.7
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
1437.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1417.1
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1286.3
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
1258.3
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
1226.3
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1215.9
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1213.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1209.6
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1168.1
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1165.8
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1153.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
1136.1
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
1097.8
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1070.4
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1033.6
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
990.4
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
979.1
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
978.9
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
958.2
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
946.4
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
936.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
870.8
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
802.3
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
799.3
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
699.8
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
606.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
570.3
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
548.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
420.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
369.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 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.
CD24 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
3073.7
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
24951.7
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
17459.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
15447.8
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
15111.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
15030.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
14218.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
12525.8
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
11622.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
11529.1
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
11073.2
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
10039.8
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
9565.4
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
9308.2
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
9049.9
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
9016.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
8123.7
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
8111.0
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
7959.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
7595.5
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
7321.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
6926.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
6648.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
6527.4
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
6524.1
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
6458.3
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
6216.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5978.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
5673.4
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
5567.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
5457.8
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
5455.7
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
5391.7
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5324.5
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
5191.0
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
5091.4
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
5082.5
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
5054.5
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
4958.3
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
4902.9
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
4812.4
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
4796.2
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
4774.8
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
4701.0
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
4639.0
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
4636.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4625.7
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
4615.9
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
4574.0
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
4511.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
4451.2
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
4433.3
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
4428.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
4424.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
4416.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
4412.1
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
4296.0
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
4183.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
4123.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4113.5
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
4059.8
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4017.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
3935.1
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
3900.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
3883.7
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3858.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
3846.3
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
3795.9
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
3734.1
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3718.6
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3708.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
3626.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
3622.1
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3614.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3598.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
3595.1
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3574.8
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3494.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
3478.3
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
3435.0
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
3418.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
3406.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3390.3
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
3370.0
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
3342.1
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3339.7
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
3322.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3274.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3222.3
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3217.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3213.7
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
3208.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
3185.0
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
3185.0
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
3145.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
3118.2
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
3118.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3090.7
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3089.6
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
3059.5
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3050.7
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
3029.9
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3026.9
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
2996.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
2966.7
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
2966.3
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2951.4
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
2926.4
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
2914.8
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2898.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2893.2
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
2884.4
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2881.5
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2880.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
2863.5
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
2843.6
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
2820.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
2807.5
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
2800.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2792.0
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2720.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
2674.8
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2637.3
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
2616.8
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2588.7
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2553.4
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
2542.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
2514.3
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
2508.3
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
2505.2
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
2489.3
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2480.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
2477.7
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
2468.0
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2466.1
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2444.2
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2435.0
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
2424.9
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
2424.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2407.2
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
2388.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
2381.7
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2380.6
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2377.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2359.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
2329.6
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2311.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
2304.1
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2287.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2254.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2248.4
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2234.1
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
2209.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2174.0
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
2164.6
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2154.9
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
2119.7
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
2088.9
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2079.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2047.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2040.2
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2037.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2029.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2023.2
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2019.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1966.7
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1959.1
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1904.1
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1900.0
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1899.5
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1880.7
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
1861.1
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
1832.0
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
1792.3
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
1718.2
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
1704.0
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1703.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1703.1
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1685.0
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1675.0
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
1660.4
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
1654.2
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
1614.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1598.2
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
1597.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1586.4
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
1575.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1565.9
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1562.2
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1554.1
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1543.1
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1521.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1509.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1501.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
1475.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1471.8
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1467.8
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
1466.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1447.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
1443.1
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
1432.9
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1420.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1376.7
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1361.0
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
1360.6
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
1323.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1319.0
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
1295.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1294.8
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
1291.7
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
1281.4
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1281.1
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
1258.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
1258.2
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
1255.4
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
1249.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1232.7
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1229.9
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
1213.5
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1188.7
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1176.1
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1175.4
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
1170.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1166.3
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1165.5
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1152.3
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1150.5
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1138.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
1129.1
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1102.2
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1101.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
1088.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
1058.5
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1046.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1044.7
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
982.6
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
955.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
954.1
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
943.5
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
940.6
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
924.0
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
905.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
868.4
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
855.4
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
836.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
835.9
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
833.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
803.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
796.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
796.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
786.9
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
778.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
768.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
764.0
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
763.1
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
740.4
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
695.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
654.9
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
632.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
622.4
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
617.1
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
612.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
591.9
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
588.7
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
580.9
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
550.8
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
518.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
505.5
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
482.9
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
470.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
464.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
452.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
447.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
409.0
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
362.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
360.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
298.7
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
232.4
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
217.6
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
176.7
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
161.6
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
82.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
79.2
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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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
