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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.
FXYD2 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5066.0
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
21104.9
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
13691.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
10990.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
10420.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
9984.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
9591.2
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
9399.9
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
9243.8
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
8611.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
8551.5
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
7948.6
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
7828.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
7531.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
7339.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
7322.5
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
7315.4
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
7247.8
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
7182.9
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
6929.1
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
6697.5
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
6513.2
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
6326.7
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
6154.1
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
5836.9
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
5823.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
5666.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
5543.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
5539.3
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
5401.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
5382.2
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
5318.7
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
5169.8
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
5044.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
4461.2
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
4188.5
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
4073.0
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
4049.2
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
4026.8
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
3920.1
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
3878.6
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3524.6
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
3354.0
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
3182.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
3159.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
3100.5
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
3036.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
2925.3
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
2906.3
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2507.0
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
2275.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
2262.7
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1371.7
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1349.6
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
1093.2
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
198.4
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
138.9
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
126.5
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
104.6
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
96.3
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
94.1
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
80.9
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
59.6
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
16.6
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FXYD2 is potential prognostic, high expression is favorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1982.2
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
18309.5
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
15062.8
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
13670.6
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
12961.8
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
11673.6
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
10483.6
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
10476.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
9310.8
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
8930.1
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
8764.0
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
7270.1
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
6242.5
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
6232.6
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
5916.0
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
5903.8
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
5881.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
5849.5
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
5726.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
5448.0
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
5206.6
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
5195.4
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
5193.4
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
5152.5
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
5127.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
5105.9
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
4826.4
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
4814.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
4738.8
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
4526.9
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
4524.1
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
4463.3
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
4253.9
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
4225.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
4222.5
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
4177.5
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
4125.2
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
4048.0
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3933.5
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
3855.8
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3784.1
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3741.4
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3731.1
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3706.9
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3686.6
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3669.1
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
3627.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3626.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
3606.4
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
3575.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
3502.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
3487.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
3472.7
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3464.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
3424.8
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
3390.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
3389.0
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
3373.4
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
3350.7
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
3333.7
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
3326.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
3300.0
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
3276.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
3247.4
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
3240.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
3204.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
3204.5
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
3200.3
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
3173.0
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
3166.7
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
3145.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
3139.0
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
3133.5
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3121.1
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
3083.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3038.1
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
3028.1
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
3027.1
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
3016.4
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
3000.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2939.9
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2920.6
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2892.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2890.5
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2858.5
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
2829.8
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2825.3
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2824.3
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2812.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2811.0
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2798.2
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2796.7
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2783.2
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2780.5
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2753.9
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2750.8
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2721.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2706.1
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2688.9
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2682.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2674.9
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
2661.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2637.5
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
2633.2
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2622.7
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2606.7
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2601.0
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2597.0
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2595.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2595.1
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2579.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2566.2
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2556.5
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2548.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2539.1
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2530.6
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2514.7
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2465.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2443.7
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2437.5
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2422.3
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
2421.0
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2410.8
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2387.3
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2387.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
2380.4
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
2369.1
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
2346.2
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2345.6
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
2342.1
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
2337.5
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
2321.9
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
2317.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
2314.3
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
2312.2
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
2310.0
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2307.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
2292.3
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2285.3
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
2278.2
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
2274.2
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
2273.7
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
2267.8
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
2263.7
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
2254.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
2246.8
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2246.1
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
2237.7
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
2235.3
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
2231.8
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
2230.8
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
2229.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
2212.2
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
2207.9
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
2200.3
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2195.5
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
2192.3
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
2188.5
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
2168.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2166.7
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
2165.0
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
2164.7
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
2152.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
2151.8
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
2138.1
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
2128.0
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
2116.4
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2114.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
2112.1
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
2111.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
2106.4
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
2089.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2076.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
2068.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
2068.4
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
2064.7
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
2055.5
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
2051.6
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
2051.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
2046.1
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
2038.8
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
2032.4
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2031.9
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
2025.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
2017.5
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1988.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1971.7
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1970.6
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1960.5
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1957.1
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1950.9
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1950.3
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
1945.6
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1945.5
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1943.1
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1931.0
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1930.9
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1928.2
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1924.5
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1924.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1921.4
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1918.0
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1914.7
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1911.8
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1906.2
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
1905.1
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1900.5
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1896.3
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1896.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1879.9
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1875.2
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1871.4
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1867.2
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1864.0
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
1859.6
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1857.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
1854.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1850.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1842.7
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1840.7
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1839.5
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1828.4
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
1826.9
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1826.4
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1826.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
1821.3
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
1819.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1817.2
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
1800.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1796.7
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
1794.7
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
1794.5
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1789.1
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1787.7
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
1785.6
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1777.9
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1771.8
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1771.5
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1770.5
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1752.8
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1747.6
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1738.9
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1735.5
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1735.3
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1735.1
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1727.6
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1724.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1723.0
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1723.0
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1718.2
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1710.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1707.0
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1704.7
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1703.4
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1681.3
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1675.4
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
1669.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1668.1
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1652.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
1650.7
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1650.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1630.4
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
1623.1
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1621.5
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1614.8
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1613.5
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1603.4
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1603.1
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1603.0
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1597.1
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1577.4
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1575.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1572.6
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
1571.9
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
1566.6
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1560.9
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1559.6
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1557.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1554.8
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1553.8
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1548.0
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1546.7
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1541.2
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1537.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
1531.8
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1531.0
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1522.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1521.7
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
1512.2
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1509.6
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1504.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1494.8
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1484.0
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
1482.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1474.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1468.1
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1467.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1465.0
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1455.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1452.4
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1450.1
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1447.7
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1438.3
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
1432.2
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1419.7
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
1400.2
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
1394.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
1391.7
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1389.1
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1386.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1376.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1376.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1375.7
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1373.5
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1373.0
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1371.3
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1367.2
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1365.7
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1362.9
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
1360.4
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1354.6
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1348.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1347.8
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1347.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1346.2
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1329.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
1327.8
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
1322.2
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1306.9
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1305.7
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1304.1
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1302.4
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1288.2
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1287.9
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1283.8
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1277.6
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
1273.4
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1272.1
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1270.1
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
1262.2
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1255.4
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1251.9
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
1239.0
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
1238.3
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1235.6
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1234.7
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1233.8
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1231.5
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
1218.9
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
1214.5
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1210.9
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1208.9
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1207.4
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1200.7
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1196.7
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1195.2
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
1191.3
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
1189.8
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
1188.5
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
1187.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
1186.8
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
1184.8
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
1181.1
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
1175.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1171.6
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
1169.2
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
1155.8
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
1153.3
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
1151.7
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
1140.4
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
1131.6
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1130.9
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
1127.7
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1114.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1110.3
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
1104.9
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
1095.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
1095.4
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1094.1
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
1080.2
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1079.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
1078.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1066.3
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
1055.2
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
1053.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
1036.2
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
1020.7
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1013.1
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
1011.7
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
1007.9
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
999.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
990.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
990.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
983.5
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
969.5
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
968.7
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
962.4
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
953.7
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
953.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
947.7
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
940.9
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
930.9
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
924.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
918.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
917.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
916.4
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
914.0
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
909.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
907.2
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
907.0
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
905.9
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
887.5
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
872.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
869.3
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
868.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
855.9
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
849.6
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
828.3
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
824.6
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
823.6
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
818.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
802.6
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
798.7
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
797.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
784.6
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
781.1
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
769.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
765.9
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
764.8
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
759.5
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
751.0
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
743.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
708.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
708.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
701.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
677.0
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
675.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
671.8
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
671.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
671.1
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
668.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
665.3
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
657.6
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
654.5
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
651.5
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
646.7
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
640.3
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
621.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
621.4
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
617.3
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
615.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
614.3
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
603.7
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
595.0
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
594.3
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
592.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
591.4
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
582.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
578.0
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
573.3
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
572.0
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
569.4
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
568.1
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
568.0
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
566.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
555.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
547.4
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
539.1
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
530.4
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
516.6
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
510.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
487.4
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
480.9
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
469.6
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
460.4
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
460.0
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
435.6
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
428.5
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
422.0
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
416.4
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
408.3
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
387.7
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
379.5
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
365.9
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
320.4
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
315.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
307.5
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
289.6
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
262.3
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
244.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
234.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
218.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
201.4
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
200.8
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
192.9
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
186.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
182.2
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
167.2
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
152.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
152.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
148.0
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
146.8
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
141.9
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
136.7
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
125.1
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
120.1
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
116.2
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
82.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
75.4
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
71.3
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
63.2
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
62.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
60.3
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
49.1
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
42.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
33.4
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
19.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
10.4
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3.1
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1.4
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 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.
FXYD2 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1216.4
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3927.5
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
3179.1
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2883.4
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2589.8
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2564.5
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
2458.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2434.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
2296.3
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
2205.6
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
2198.2
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
2135.3
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
2133.0
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
2042.2
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1970.6
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1953.8
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1952.6
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1943.0
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1942.6
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1915.9
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1856.7
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1774.6
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1772.7
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1716.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1692.0
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1629.9
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1598.8
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1595.8
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1589.8
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1559.8
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1528.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1507.3
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1458.5
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1449.4
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1443.2
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1429.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1413.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1413.1
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1405.3
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1363.5
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1360.6
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1355.7
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1348.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1328.6
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1326.3
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1286.6
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1284.6
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1273.8
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1266.9
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1262.5
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1240.3
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
1225.2
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
1151.0
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1132.4
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
1131.5
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
1121.0
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
1118.5
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
1101.6
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1039.7
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
1031.5
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1023.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
1013.5
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
995.3
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
988.1
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
980.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
958.1
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
924.2
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
915.8
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
873.1
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
865.1
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
822.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
816.4
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
804.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
791.7
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
743.6
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
732.1
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
670.9
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
600.1
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
587.0
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
515.5
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
474.7
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
474.6
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
454.4
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
417.6
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
378.3
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
344.2
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
290.1
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
279.3
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
248.8
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
242.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
193.8
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
174.3
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
134.4
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
132.3
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
129.3
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
94.7
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
93.2
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
48.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
47.2
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
29.7
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 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.
FXYD2 is potential prognostic, high expression is favorable in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2051.2
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
11275.6
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
9318.8
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
7905.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
7719.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
6886.2
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
6483.9
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
6055.1
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
5643.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
5602.8
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
5455.8
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
5310.4
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
5091.3
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
5020.0
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
5011.3
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
4806.1
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
4722.6
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
4608.6
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
4488.9
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
4438.4
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
4436.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
4376.5
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
4343.1
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
4318.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
4262.0
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
4099.3
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
4090.5
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
4061.8
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3963.7
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3949.0
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3911.6
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3909.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3884.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3818.5
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3699.0
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3670.5
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3669.1
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3638.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
3603.1
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
3596.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
3592.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3589.1
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
3574.7
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3559.1
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
3474.5
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
3450.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3438.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
3399.9
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
3282.6
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3237.8
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
3220.6
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
3217.0
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
3212.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
3188.2
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
3152.4
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
3137.0
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
3118.7
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2986.7
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2973.4
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2917.9
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2909.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
2887.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2848.1
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
2804.3
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2798.8
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
2786.0
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2772.9
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2729.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
2705.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2691.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2618.0
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
2608.2
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2585.4
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2580.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
2572.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2571.0
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
2529.0
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2498.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2497.3
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
2484.2
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
2482.0
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
2449.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
2421.7
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
2404.5
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
2391.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2386.7
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2385.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
2360.7
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
2213.9
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
2206.3
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2201.8
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
2196.5
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
2179.2
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
2159.4
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2152.4
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
2150.1
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
2143.6
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
2137.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
2136.6
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
2134.0
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
2128.8
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
2113.8
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
2113.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
2105.5
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
2104.0
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
2091.7
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
2085.8
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
2079.0
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
2071.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
2068.9
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
2042.1
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
2039.3
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
2039.3
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2026.1
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
2018.0
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1997.2
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1975.6
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1968.4
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1952.5
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
1936.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1921.9
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1919.8
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1908.7
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
1905.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1894.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1879.1
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1874.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1867.5
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1854.8
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1851.4
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1849.2
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1846.1
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1841.4
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1828.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1826.9
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1821.5
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1806.6
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1805.9
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1794.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1787.3
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1783.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1780.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1744.6
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1701.5
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1690.6
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1689.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1671.8
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1658.6
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1658.1
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1640.7
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1616.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1609.2
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1598.4
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1597.8
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1585.2
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1541.8
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1537.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1519.5
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1514.5
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1483.8
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1474.2
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1465.4
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1461.8
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1460.1
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1459.5
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1452.5
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1432.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1422.6
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1421.8
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1421.1
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1417.6
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1415.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1394.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1372.0
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1363.8
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1357.9
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1354.6
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1353.6
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1350.3
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1322.0
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1317.1
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1304.4
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1292.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1284.7
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1274.3
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1273.8
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1271.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1267.2
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
1264.0
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1255.8
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
1246.5
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1246.2
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1245.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
1243.2
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1233.2
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
1223.5
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1213.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
1211.5
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1167.9
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
1166.2
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
1163.9
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1145.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
1123.1
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
1083.3
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
1054.5
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
1036.3
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
1033.6
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
1006.4
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
1005.7
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
1004.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
1001.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
980.3
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
966.0
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
950.7
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
950.2
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
945.7
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
940.9
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
919.8
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
914.3
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
908.3
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
905.0
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
904.9
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
903.1
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
898.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
897.5
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
878.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
858.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
853.1
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
824.0
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
815.8
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
814.5
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
804.7
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
795.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
788.9
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
788.9
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
788.3
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
769.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
759.1
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
754.4
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
735.7
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
726.3
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
717.3
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
713.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
705.8
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
691.4
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
684.7
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
673.7
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
671.0
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
669.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
664.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
663.5
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
655.6
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
619.2
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
613.0
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
602.5
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
590.0
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
572.7
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
552.5
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
535.6
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
535.4
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
533.4
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
477.0
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
475.6
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
437.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
415.4
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
400.6
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
362.7
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
342.7
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
341.9
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
327.1
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
244.0
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
220.4
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
188.8
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
181.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
170.2
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
129.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
103.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
62.4
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
11.9
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
5.4
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1.6
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
1.0
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
0.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0001510001
Normal
1.8
CPT0088640003
Normal
1.7
CPT0012640003
Normal
1.6
CPT0001230001
Normal
1.5
CPT0069010001
Normal
1.4
CPT0020130001
Normal
1.4
CPT0069190001
Normal
1.3
CPT0079300001
Normal
1.2
CPT0026420001
Normal
1.2
CPT0025920001
Normal
1.2
CPT0077500001
Normal
1.1
CPT0020020001
Normal
1.1
CPT0000790001
Normal
1.1
CPT0088500001
Normal
1.1
CPT0023360001
Normal
1.1
CPT0092310003
Normal
1.0
CPT0079000001
Normal
1.0
CPT0079430001
Normal
1.0
CPT0089480003
Normal
1.0
CPT0001550001
Normal
1.0
CPT0023710001
Normal
1.0
CPT0065450001
Normal
1.0
CPT0063330001
Normal
0.9
CPT0066430001
Normal
0.9
CPT0077140001
Normal
0.9
CPT0081620001
Normal
0.9
CPT0086830003
Normal
0.9
CPT0010170001
Normal
0.9
CPT0087050003
Normal
0.9
CPT0078840001
Normal
0.9
CPT0006730001
Normal
0.9
CPT0092800003
Normal
0.9
CPT0092740003
Normal
0.8
CPT0088710001
Normal
0.8
CPT0009020003
Normal
0.8
CPT0064400001
Normal
0.8
CPT0002370001
Normal
0.8
CPT0082010001
Normal
0.8
CPT0078670001
Normal
0.8
CPT0012770003
Normal
0.8
CPT0007470001
Normal
0.8
CPT0012570003
Normal
0.7
CPT0019160001
Normal
0.7
CPT0078940001
Normal
0.7
CPT0017450001
Normal
0.7
CPT0007870001
Normal
0.7
CPT0006950001
Normal
0.7
CPT0001190001
Normal
0.6
CPT0014350001
Normal
0.6
CPT0001350001
Normal
0.6
CPT0012090003
Normal
0.6
CPT0025610001
Normal
0.6
CPT0086370003
Normal
0.6
CPT0089040001
Normal
0.5
CPT0079510001
Normal
0.5
CPT0086890003
Normal
0.5
CPT0088780001
Normal
0.5
CPT0025060001
Normal
0.5
CPT0066520001
Normal
0.5
CPT0088920001
Normal
0.5
CPT0014130001
Normal
0.4
CPT0086970003
Normal
0.4
CPT0063640001
Normal
0.4
CPT0009080003
Normal
0.3
CPT0012290003
Normal
0.3
CPT0078530001
Normal
0.3
CPT0024680001
Normal
0.3
CPT0006530001
Normal
0.2
CPT0000890001
Normal
0.2
CPT0000660001
Normal
0.2
CPT0012920003
Normal
0.2
CPT0018250001
Normal
0.2
CPT0013790003
Normal
0.1
CPT0065820001
Normal
0.1
CPT0075570001
Normal
0.1
CPT0088570001
Normal
0.1
CPT0076350001
Normal
0.1
CPT0075170001
Normal
-0.2
CPT0025170003
Tumor
-0.3
CPT0088480003
Tumor
-0.3
CPT0001270001
Normal
-0.4
CPT0012280003
Tumor
-0.4
CPT0065430003
Tumor
-0.4
CPT0010120001
Normal
-0.4
CPT0001500009
Tumor
-0.4
CPT0084590001
Normal
-0.5
CPT0014450004
Tumor
-0.5
CPT0020120003
Tumor
-0.5
CPT0025880003
Tumor
-0.5
CPT0014470001
Normal
-0.6
CPT0024670003
Tumor
-0.6
CPT0065750003
Tumor
-0.6
CPT0086820003
Tumor
-0.7
CPT0025350003
Tumor
-0.7
CPT0010110003
Tumor
-0.7
CPT0007320003
Tumor
-0.7
CPT0088900003
Tumor
-0.8
CPT0063320003
Tumor
-0.8
CPT0078930003
Tumor
-0.8
CPT0025050003
Tumor
-0.8
CPT0065810003
Tumor
-0.8
CPT0075720003
Tumor
-0.8
CPT0089460004
Tumor
-0.9
CPT0086360003
Tumor
-0.9
CPT0089020003
Tumor
-0.9
CPT0087040003
Tumor
-0.9
CPT0079270003
Tumor
-0.9
CPT0092190003
Normal
-0.9
CPT0006900003
Tumor
-1.0
CPT0064370003
Tumor
-1.0
CPT0015730003
Tumor
-1.0
CPT0075130003
Tumor
-1.0
CPT0025580004
Tumor
-1.0
CPT0079480003
Tumor
-1.0
CPT0025110003
Tumor
-1.0
CPT0026410003
Tumor
-1.0
CPT0077320001
Normal
-1.0
CPT0019130003
Tumor
-1.1
CPT0012550003
Tumor
-1.1
CPT0015910003
Tumor
-1.1
CPT0001540009
Tumor
-1.1
CPT0015810003
Tumor
-1.2
CPT0069000003
Tumor
-1.2
CPT0088970003
Tumor
-1.2
CPT0092160003
Tumor
-1.2
CPT0081990003
Tumor
-1.2
CPT0079380003
Tumor
-1.2
CPT0077110003
Tumor
-1.2
CPT0025290003
Tumor
-1.2
CPT0023350003
Tumor
-1.2
CPT0086870003
Tumor
-1.2
CPT0006440003
Tumor
-1.2
CPT0078990003
Tumor
-1.3
CPT0088760003
Tumor
-1.3
CPT0079230003
Tumor
-1.3
CPT0000640003
Tumor
-1.3
CPT0092290003
Tumor
-1.3
CPT0000780007
Tumor
-1.3
CPT0011410003
Tumor
-1.4
CPT0002270011
Tumor
-1.4
CPT0086950003
Tumor
-1.4
CPT0088630003
Tumor
-1.4
CPT0012370003
Tumor
-1.5
CPT0066480003
Tumor
-1.5
CPT0019990003
Tumor
-1.5
CPT0000870016
Tumor
-1.5
CPT0071150004
Tumor
-1.5
CPT0010160003
Tumor
-1.5
CPT0025230003
Tumor
-1.5
CPT0078800003
Tumor
-1.5
CPT0002350011
Tumor
-1.5
CPT0065870003
Tumor
-1.5
CPT0078660003
Tumor
-1.5
CPT0077310003
Tumor
-1.5
CPT0084560003
Tumor
-1.6
CPT0014370004
Tumor
-1.6
CPT0065690003
Tumor
-1.6
CPT0001220008
Tumor
-1.6
CPT0021240003
Tumor
-1.6
CPT0006630003
Tumor
-1.6
CPT0088690003
Tumor
-1.6
CPT0001180009
Tumor
-1.6
CPT0007860003
Tumor
-1.6
CPT0014160003
Tumor
-1.7
CPT0078510003
Tumor
-1.7
CPT0069160003
Tumor
-1.7
CPT0012080003
Tumor
-1.7
CPT0009000003
Tumor
-1.7
CPT0086030003
Tumor
-1.7
CPT0065930003
Tumor
-1.7
CPT0081600003
Tumor
-1.8
CPT0081880003
Tumor
-1.8
CPT0012180003
Tumor
-1.8
CPT0001340003
Tumor
-1.8
CPT0085670003
Tumor
-1.9
CPT0077490003
Tumor
-1.9
CPT0009060003
Tumor
-1.9
CPT0001260009
Tumor
-2.0
CPT0079180003
Tumor
-2.0
CPT0092790003
Tumor
-2.0
CPT0078830003
Tumor
-2.0
CPT0063630003
Tumor
-2.1
CPT0011240003
Tumor
-2.1
CPT0092730003
Tumor
-2.1
CPT0023690003
Tumor
-2.2
CPT0075560003
Tumor
-2.4
CPT0076330003
Tumor
-2.4
CPT0012900004
Tumor
-2.5
CPT0017850003
Tumor
-2.5
CPT0017410003
Tumor
-2.5
CPT0066470004
Tumor
-2.6
CPT0088550004
Tumor
-2.8
CPT0012670003
Tumor
-2.8
CPT0079410003
Tumor
-4.3
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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
