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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.
FTH1 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 TPM
2489.2
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
5386.5
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
4732.9
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
4658.3
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
4638.5
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
4577.0
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
4516.6
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
4480.6
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
4446.7
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
4078.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
3989.3
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
3971.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
3931.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
3870.1
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
3789.8
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
3761.1
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
3752.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
3510.2
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
3475.1
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
3448.5
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3414.9
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
3138.4
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
3075.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
3039.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
3002.5
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
2841.0
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
2803.0
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
2701.4
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
2618.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
2560.2
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
2510.3
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
2502.6
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
2477.8
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2311.2
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
2225.6
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
2071.8
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
1964.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
1879.9
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
1825.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1792.7
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
1758.9
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
1642.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1604.1
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
1592.2
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
1581.8
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
1504.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
1357.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1356.6
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
1334.1
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
1331.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
1282.9
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
1253.3
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
1220.3
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
1215.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
1185.6
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
1171.1
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
988.5
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
883.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
882.1
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
868.2
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
814.4
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
811.4
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
801.5
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
740.1
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FTH1 is potential prognostic, high expression is unfavorable 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 TPM
4308.4
Number of samples
521
Samples
Sample
Description
TPM
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
14202.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
13284.7
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
9727.5
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
9723.7
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
9547.0
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
9039.3
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
8790.2
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
8454.4
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
8255.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
8234.9
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
8138.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
7981.2
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
7950.9
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
7941.0
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
7878.0
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
7726.8
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
7642.2
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
7610.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
7557.8
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
7509.1
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
7471.7
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
7450.0
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
7438.4
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
7380.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
7358.0
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
7336.3
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
7273.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
7242.2
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
7205.2
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
7152.3
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
7064.4
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
7019.9
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
7013.0
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
6953.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
6938.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
6920.1
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
6909.4
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
6892.1
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
6873.4
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
6846.1
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
6844.7
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
6836.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
6825.3
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
6730.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
6724.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6660.3
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6657.7
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6646.3
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
6538.1
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
6469.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
6421.0
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
6369.2
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
6342.3
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
6315.5
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
6290.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
6284.5
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
6280.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
6278.9
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
6251.6
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
6236.7
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
6202.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
6201.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
6199.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
6176.8
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
6120.9
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
6102.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
6093.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6089.1
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
6050.1
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
6011.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
5994.8
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
5986.6
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
5935.8
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
5922.1
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
5921.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
5868.9
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5867.4
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
5859.3
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
5858.6
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
5827.1
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
5825.2
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
5789.8
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
5780.2
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
5766.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
5757.8
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
5721.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
5714.6
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
5712.9
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
5706.7
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
5629.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
5619.6
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
5598.8
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
5584.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
5579.3
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
5485.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5480.8
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
5444.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
5426.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
5419.2
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
5375.3
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
5342.4
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
5337.7
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
5336.5
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
5324.9
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
5305.7
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
5278.5
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
5263.6
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
5262.3
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
5257.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
5253.9
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5245.6
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
5235.2
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
5229.5
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
5214.6
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
5186.1
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
5177.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
5170.4
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
5146.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
5140.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
5140.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
5116.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
5108.0
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
5104.7
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
5102.9
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
5101.9
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
5100.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
5097.8
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
5093.1
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
5091.4
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
5083.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
5069.3
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
5056.1
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
5053.6
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
5053.3
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
5053.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
5049.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
5044.4
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
5042.5
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
5041.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5027.4
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
4998.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
4993.7
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
4990.2
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
4985.5
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
4960.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
4959.9
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
4950.1
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
4948.3
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4947.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
4930.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
4929.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
4923.5
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
4916.2
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
4901.3
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
4895.1
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
4880.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
4871.7
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
4861.5
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
4851.3
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4847.4
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
4844.4
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4843.9
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
4842.9
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
4837.5
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
4822.1
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
4820.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
4808.3
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
4799.1
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
4798.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
4789.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
4788.5
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
4780.9
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
4766.9
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
4766.3
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
4764.0
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
4749.3
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
4733.1
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
4699.7
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
4695.7
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
4694.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
4693.9
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4685.2
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
4680.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
4669.3
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
4668.8
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
4667.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
4659.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
4658.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
4657.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
4656.2
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
4646.6
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
4616.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
4614.2
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4596.5
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
4592.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
4590.2
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
4583.9
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
4581.7
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4558.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
4552.9
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
4551.2
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
4526.0
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
4523.2
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
4520.5
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
4503.4
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
4495.1
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
4495.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
4489.2
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
4465.0
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
4462.7
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
4437.6
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
4428.7
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
4423.9
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
4420.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
4412.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
4408.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
4394.5
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
4391.3
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
4388.1
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
4386.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
4372.6
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
4365.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
4362.5
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4354.1
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
4350.7
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
4348.5
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
4332.2
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
4312.2
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4307.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
4299.2
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
4294.3
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
4281.3
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
4279.9
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
4278.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
4278.2
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
4276.9
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
4265.1
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
4261.7
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
4256.3
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
4248.4
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
4226.2
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4217.6
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
4211.6
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
4199.9
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
4198.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
4193.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
4191.0
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
4166.8
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
4161.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
4160.3
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
4159.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
4159.6
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
4143.8
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
4138.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
4134.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
4133.8
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
4132.1
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
4131.1
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
4124.5
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
4121.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
4120.3
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
4111.7
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
4108.2
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
4101.9
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
4101.2
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4081.0
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
4075.0
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
4073.1
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
4056.7
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
4055.3
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
4038.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
4033.2
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
4026.4
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4025.3
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
4025.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
4015.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
3982.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
3979.5
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
3977.1
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
3974.4
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
3969.4
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
3959.8
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
3957.8
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
3950.7
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
3944.2
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
3938.5
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
3919.2
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
3917.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
3895.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
3884.8
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
3882.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
3881.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3865.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
3864.1
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
3858.2
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
3857.6
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
3853.7
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3851.1
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
3848.3
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
3844.5
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
3841.2
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
3817.6
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
3817.0
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
3795.4
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3794.6
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
3792.8
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
3785.3
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
3785.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
3785.0
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
3783.2
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3779.7
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
3777.0
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
3766.1
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3765.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
3761.9
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
3753.1
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
3752.8
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
3738.8
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
3736.1
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
3734.5
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
3705.4
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3696.0
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
3695.7
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
3693.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
3683.7
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
3682.0
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
3681.9
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
3674.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
3659.7
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
3657.8
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
3656.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
3643.7
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
3639.7
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
3626.0
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
3601.0
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
3595.6
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
3592.8
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
3592.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3589.9
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3581.6
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
3577.3
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
3571.7
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
3571.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
3558.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3553.0
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
3548.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
3542.1
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
3536.2
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
3534.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
3534.4
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3534.0
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
3507.2
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
3500.2
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
3490.2
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
3489.8
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
3489.5
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
3482.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
3460.9
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
3454.6
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3454.3
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
3449.7
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3441.2
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
3429.8
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
3426.8
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
3408.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
3404.1
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
3394.5
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
3390.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
3388.9
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3386.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3383.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
3370.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
3368.8
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
3367.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
3367.4
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
3366.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
3364.1
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
3360.0
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
3356.4
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
3354.4
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
3350.1
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
3350.0
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
3346.2
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
3339.0
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
3330.5
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
3310.9
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3309.0
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
3297.2
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
3291.7
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
3285.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
3280.5
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3269.3
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
3242.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
3242.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
3241.9
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3217.1
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
3206.0
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
3201.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
3197.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
3188.3
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
3184.2
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
3166.6
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
3142.4
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
3113.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3109.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
3102.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3099.9
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
3097.2
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
3087.5
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
3082.0
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
3081.9
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
3075.3
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
3062.0
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
3061.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
3058.8
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3042.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
3035.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
3023.8
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
3021.8
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3015.8
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
2990.6
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2986.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
2981.4
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
2981.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
2953.0
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
2950.5
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
2934.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2933.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2932.4
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
2913.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
2892.9
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
2885.6
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
2885.0
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
2872.7
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
2869.3
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2855.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
2851.5
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2836.1
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
2822.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
2807.7
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
2807.3
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
2788.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
2771.1
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
2767.8
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
2760.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
2755.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
2755.0
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
2745.6
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
2734.2
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
2726.8
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
2726.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
2723.4
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
2718.8
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2715.7
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
2699.5
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2698.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
2688.4
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
2681.2
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
2652.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
2615.6
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
2592.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2552.4
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
2550.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
2546.8
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
2542.9
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
2533.6
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2514.6
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
2492.4
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
2470.7
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2442.8
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
2432.7
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
2419.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2412.7
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
2407.8
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
2405.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
2381.7
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2369.1
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2344.0
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
2326.8
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
2320.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
2316.7
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
2279.4
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2271.7
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
2256.8
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
2232.6
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
2213.7
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
2194.9
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
2191.3
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
2188.3
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
2174.2
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2144.2
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
2141.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2079.8
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
2070.8
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
2063.0
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
2059.9
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
2051.6
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
2049.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
2039.7
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
2013.2
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
2010.9
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1988.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
1960.0
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
1915.5
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
1847.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1769.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1750.1
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
1715.9
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
1698.5
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
1671.0
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1660.4
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1588.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
1537.1
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
1524.9
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
1517.5
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
1326.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1302.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
1271.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
967.0
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
925.3
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 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.
FTH1 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 TPM
4711.2
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
11620.8
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
11303.4
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
9862.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
9121.1
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
9084.7
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
8721.8
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
8508.3
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
8254.2
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
7938.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
7681.2
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
7489.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
7114.9
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
7009.1
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
6988.5
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
6423.9
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
6354.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
6353.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
6197.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
6136.0
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
5729.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
5706.9
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
5619.4
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
5587.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
5513.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
5329.3
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
5227.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
5216.3
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
5098.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
5075.1
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
5050.9
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
4984.5
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
4976.7
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
4878.0
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
4847.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
4844.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
4763.2
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
4758.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
4713.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
4697.4
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
4660.7
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
4659.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
4593.5
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
4589.5
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4572.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
4481.5
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4383.4
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
4375.6
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
4336.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
4333.8
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
4299.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4231.1
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
4211.2
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
4160.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
4119.2
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
4096.2
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
4083.6
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
4083.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
4075.3
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3938.2
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3937.1
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
3916.0
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
3886.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3854.4
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
3800.9
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
3800.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
3728.2
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
3719.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3656.9
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
3615.6
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3576.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
3526.6
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
3494.0
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
3483.8
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3477.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
3458.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
3433.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
3424.1
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
3401.3
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
3394.7
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
3391.1
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3372.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
3322.3
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
3290.4
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3213.7
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
3135.4
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
3116.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3078.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
3077.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
3065.5
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
2928.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
2864.4
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
2788.7
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2636.7
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2538.9
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
2498.7
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
2405.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1947.5
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
1747.3
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
1670.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FTH1 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 TPM
3641.3
Number of samples
282
Samples
Sample
Description
TPM
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
23304.0
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
19010.7
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
16540.3
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
14235.3
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
13389.6
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
13278.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
10750.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
10433.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
10117.9
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
10003.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
9981.1
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
8903.6
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
8892.3
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
8663.2
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
8266.2
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
7969.1
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
7959.8
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
7589.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
7391.9
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
7256.0
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
7248.9
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
6893.3
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
6703.6
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
6582.4
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
6518.7
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
6351.9
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
6345.9
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
6330.3
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
6236.5
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
6137.8
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
6133.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
6062.5
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
6038.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5980.3
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
5959.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
5947.5
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
5879.4
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
5835.9
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
5777.3
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
5739.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
5587.8
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
5570.5
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
5515.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
5506.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
5465.1
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
5425.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
5422.7
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
5400.9
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
5293.0
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
5268.6
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
5217.0
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
5205.5
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
5202.7
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
5123.1
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
5075.6
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
5043.1
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
5025.1
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
4934.6
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4893.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
4825.6
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
4800.8
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
4767.5
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
4706.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
4698.6
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
4670.8
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
4639.4
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
4629.4
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
4608.8
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
4605.7
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4566.3
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
4532.1
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
4530.8
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
4513.3
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4495.5
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
4382.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4348.7
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
4341.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
4337.0
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
4311.3
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
4278.8
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4227.9
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
4186.1
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
4185.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
4185.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
4176.9
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
4172.0
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
4146.4
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
4127.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
4031.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
4020.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
4001.8
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
3910.5
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
3874.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
3843.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
3818.6
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
3791.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3712.7
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
3711.7
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
3663.5
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
3650.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
3648.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
3643.8
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3640.2
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
3591.1
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
3576.5
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
3568.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
3524.5
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3494.0
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
3484.4
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
3469.1
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
3461.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3429.1
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
3410.1
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3410.0
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
3395.1
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
3357.9
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
3356.8
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
3355.6
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
3346.2
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3338.5
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
3334.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3313.3
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
3284.6
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3276.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
3262.5
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3253.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
3228.1
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
3193.4
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
3186.1
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3133.2
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
3132.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
3122.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
3117.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
3116.8
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
3113.8
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
3112.1
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3100.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
3064.6
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
3040.6
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
3034.6
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2981.0
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
2963.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2946.5
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
2945.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
2944.8
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2926.8
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
2908.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
2896.7
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
2882.5
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2860.2
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2858.5
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2851.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
2843.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
2836.6
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2834.9
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2828.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
2823.8
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
2819.3
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2807.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
2800.3
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
2776.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
2771.1
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
2745.5
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2739.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
2731.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
2698.7
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
2695.9
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
2651.2
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2634.4
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
2631.8
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
2624.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
2606.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2597.6
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
2588.9
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
2582.7
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2575.2
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
2554.0
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2541.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2540.4
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2529.0
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
2526.1
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
2510.5
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
2509.3
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2502.6
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
2496.7
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2491.0
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2458.2
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
2445.1
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
2439.1
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
2415.1
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
2393.8
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
2386.1
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
2355.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2332.1
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
2331.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
2330.4
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2275.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
2274.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
2253.7
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
2252.8
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
2250.2
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
2238.5
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
2228.9
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2207.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
2178.4
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
2160.6
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2149.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
2097.4
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2087.8
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2051.2
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
2015.5
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1969.7
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
1952.3
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1915.6
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1912.3
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
1908.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
1875.4
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
1866.8
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1828.6
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1783.0
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1768.1
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1746.5
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
1657.1
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1651.5
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
1631.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
1523.7
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1519.7
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1497.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
1496.3
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1483.3
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
1481.8
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
1457.3
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
1453.8
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1429.7
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1415.6
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
1402.6
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
1399.1
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1386.6
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
1375.8
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
1361.1
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
1347.5
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1330.7
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
1304.8
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1304.5
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
1268.5
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1263.2
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
1255.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
1227.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
1216.6
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1212.4
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1188.1
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1184.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
1156.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1138.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1122.5
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1115.1
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
1092.4
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1077.5
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1032.8
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1032.5
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1027.0
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
1014.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
971.1
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
965.9
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
911.0
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
900.5
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
875.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
861.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
812.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
801.6
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
771.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
769.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
731.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
726.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
723.2
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
699.7
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
687.1
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
685.1
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
653.5
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
583.5
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
433.9
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
432.8
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0014160003
Tumor
3.4
CPT0092730003
Tumor
2.7
CPT0078510003
Tumor
2.4
CPT0086030003
Tumor
2.3
CPT0025290003
Tumor
2.3
CPT0064370003
Tumor
2.1
CPT0025050003
Tumor
2.0
CPT0079180003
Tumor
1.9
CPT0001500009
Tumor
1.9
CPT0092790003
Tumor
1.9
CPT0065690003
Tumor
1.8
CPT0023690003
Tumor
1.8
CPT0092290003
Tumor
1.7
CPT0065750003
Tumor
1.6
CPT0007860003
Tumor
1.6
CPT0076330003
Tumor
1.6
CPT0065930003
Tumor
1.5
CPT0075560003
Tumor
1.5
CPT0019990003
Tumor
1.4
CPT0089460004
Tumor
1.4
CPT0009000003
Tumor
1.3
CPT0021240003
Tumor
1.3
CPT0020120003
Tumor
1.3
CPT0063320003
Tumor
1.3
CPT0066470004
Tumor
1.2
CPT0012670003
Tumor
1.1
CPT0066480003
Tumor
1.1
CPT0063630003
Tumor
1.1
CPT0017410003
Tumor
1.0
CPT0088760003
Tumor
1.0
CPT0000780007
Tumor
0.9
CPT0077310003
Tumor
0.9
CPT0089020003
Tumor
0.9
CPT0088550004
Tumor
0.8
CPT0012900004
Tumor
0.8
CPT0015910003
Tumor
0.7
CPT0000640003
Tumor
0.5
CPT0025110003
Tumor
0.5
CPT0012080003
Tumor
0.5
CPT0025350003
Tumor
0.4
CPT0065810003
Tumor
0.4
CPT0026420001
Normal
0.4
CPT0086360003
Tumor
0.4
CPT0078660003
Tumor
0.3
CPT0078930003
Tumor
0.3
CPT0006900003
Tumor
0.3
CPT0006440003
Tumor
0.3
CPT0088630003
Tumor
0.3
CPT0006630003
Tumor
0.3
CPT0026410003
Tumor
0.3
CPT0001540009
Tumor
0.2
CPT0081990003
Tumor
0.2
CPT0025230003
Tumor
0.2
CPT0010160003
Tumor
0.2
CPT0071150004
Tumor
0.2
CPT0079480003
Tumor
0.2
CPT0012550003
Tumor
0.1
CPT0087040003
Tumor
0.1
CPT0023350003
Tumor
0.1
CPT0088900003
Tumor
0.1
CPT0015730003
Tumor
0.1
CPT0081880003
Tumor
0.1
CPT0079380003
Tumor
0.0
CPT0025170003
Tumor
0.0
CPT0092160003
Tumor
0.0
CPT0077110003
Tumor
-0.1
CPT0077490003
Tumor
-0.1
CPT0007320003
Tumor
-0.1
CPT0069160003
Tumor
-0.1
CPT0014370004
Tumor
-0.2
CPT0012280003
Tumor
-0.2
CPT0015810003
Tumor
-0.2
CPT0001220008
Tumor
-0.3
CPT0079410003
Tumor
-0.3
CPT0002350011
Tumor
-0.3
CPT0081600003
Tumor
-0.4
CPT0019130003
Tumor
-0.4
CPT0092800003
Normal
-0.4
CPT0086950003
Tumor
-0.4
CPT0025060001
Normal
-0.4
CPT0014450004
Tumor
-0.4
CPT0086820003
Tumor
-0.4
CPT0088480003
Tumor
-0.5
CPT0075720003
Tumor
-0.5
CPT0088970003
Tumor
-0.5
CPT0065450001
Normal
-0.5
CPT0012370003
Tumor
-0.5
CPT0020020001
Normal
-0.6
CPT0078830003
Tumor
-0.6
CPT0078990003
Tumor
-0.6
CPT0065430003
Tumor
-0.6
CPT0000870016
Tumor
-0.6
CPT0078530001
Normal
-0.7
CPT0001260009
Tumor
-0.7
CPT0078800003
Tumor
-0.7
CPT0017850003
Tumor
-0.7
CPT0065820001
Normal
-0.7
CPT0075130003
Tumor
-0.7
CPT0077140001
Normal
-0.8
CPT0025880003
Tumor
-0.8
CPT0085670003
Tumor
-0.8
CPT0006950001
Normal
-0.8
CPT0078940001
Normal
-0.8
CPT0011240003
Tumor
-0.8
CPT0089040001
Normal
-0.8
CPT0092310003
Normal
-0.8
CPT0079270003
Tumor
-0.8
CPT0025580004
Tumor
-0.9
CPT0064400001
Normal
-0.9
CPT0086370003
Normal
-0.9
CPT0092740003
Normal
-0.9
CPT0086970003
Normal
-0.9
CPT0076350001
Normal
-0.9
CPT0009080003
Normal
-1.0
CPT0001340003
Tumor
-1.0
CPT0078670001
Normal
-1.0
CPT0024670003
Tumor
-1.0
CPT0014470001
Normal
-1.0
CPT0079510001
Normal
-1.0
CPT0009060003
Tumor
-1.0
CPT0011410003
Tumor
-1.0
CPT0088570001
Normal
-1.0
CPT0089480003
Normal
-1.0
CPT0000790001
Normal
-1.0
CPT0082010001
Normal
-1.1
CPT0088690003
Tumor
-1.1
CPT0023710001
Normal
-1.1
CPT0001270001
Normal
-1.1
CPT0079000001
Normal
-1.1
CPT0010110003
Tumor
-1.1
CPT0088780001
Normal
-1.1
CPT0088500001
Normal
-1.1
CPT0079230003
Tumor
-1.1
CPT0001510001
Normal
-1.1
CPT0001190001
Normal
-1.1
CPT0086890003
Normal
-1.1
CPT0066520001
Normal
-1.1
CPT0063330001
Normal
-1.1
CPT0087050003
Normal
-1.2
CPT0086870003
Tumor
-1.2
CPT0078840001
Normal
-1.2
CPT0020130001
Normal
-1.2
CPT0069190001
Normal
-1.2
CPT0006730001
Normal
-1.2
CPT0001550001
Normal
-1.2
CPT0001180009
Tumor
-1.2
CPT0088640003
Normal
-1.2
CPT0088920001
Normal
-1.2
CPT0009020003
Normal
-1.2
CPT0001350001
Normal
-1.3
CPT0069010001
Normal
-1.3
CPT0002270011
Tumor
-1.3
CPT0077500001
Normal
-1.3
CPT0007870001
Normal
-1.3
CPT0019160001
Normal
-1.3
CPT0000660001
Normal
-1.3
CPT0075170001
Normal
-1.3
CPT0023360001
Normal
-1.3
CPT0084560003
Tumor
-1.3
CPT0079430001
Normal
-1.3
CPT0006530001
Normal
-1.3
CPT0017450001
Normal
-1.3
CPT0014350001
Normal
-1.3
CPT0012920003
Normal
-1.3
CPT0025920001
Normal
-1.3
CPT0088710001
Normal
-1.3
CPT0012770003
Normal
-1.4
CPT0092190003
Normal
-1.4
CPT0063640001
Normal
-1.4
CPT0066430001
Normal
-1.4
CPT0014130001
Normal
-1.4
CPT0007470001
Normal
-1.5
CPT0077320001
Normal
-1.5
CPT0012180003
Tumor
-1.5
CPT0079300001
Normal
-1.5
CPT0001230001
Normal
-1.5
CPT0081620001
Normal
-1.5
CPT0010170001
Normal
-1.5
CPT0012290003
Normal
-1.5
CPT0012570003
Normal
-1.6
CPT0013790003
Normal
-1.6
CPT0000890001
Normal
-1.6
CPT0075570001
Normal
-1.6
CPT0002370001
Normal
-1.7
CPT0012090003
Normal
-1.7
CPT0069000003
Tumor
-1.7
CPT0010120001
Normal
-1.7
CPT0084590001
Normal
-1.7
CPT0012640003
Normal
-1.8
CPT0018250001
Normal
-1.8
CPT0024680001
Normal
-1.9
CPT0086830003
Normal
-2.0
CPT0065870003
Tumor
-2.0
CPT0025610001
Normal
-2.1
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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
