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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 TPM
4321.7
Number of samples
64
Samples
Sample
Description
TPM
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
17639.6
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
11855.2
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
9636.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
9184.9
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
8738.9
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
8435.0
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
8342.5
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
7548.4
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
7534.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
7044.8
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
6813.3
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
6515.2
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
6501.3
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
6496.4
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
6372.6
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
6357.5
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
6133.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
5936.2
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
5877.8
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
5704.4
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
5303.1
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
5272.6
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
5143.2
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
5010.2
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
4832.3
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
4773.0
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
4736.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
4599.5
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
4548.4
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
4449.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
4443.0
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
4440.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
4386.4
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
4007.9
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
3811.7
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
3712.4
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
3605.9
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
3277.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
3264.2
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
3212.1
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
2940.8
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
2899.4
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
2811.0
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
2650.0
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
2508.9
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
2436.1
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
2333.3
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
2306.6
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
2174.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
2040.5
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
1978.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
1196.3
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
1071.5
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
959.6
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
156.2
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
123.7
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
110.6
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
86.4
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
86.3
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
80.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
72.6
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
48.3
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
13.8
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 TPM
1649.3
Number of samples
521
Samples
Sample
Description
TPM
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
15407.7
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
13424.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
11860.7
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
11280.3
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
9398.4
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
8920.0
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
8769.3
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
8088.3
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
7475.2
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
7228.9
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
6260.9
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
5711.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
5050.2
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
5046.3
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
4953.3
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
4840.7
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4799.8
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
4598.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
4390.9
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
4381.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
4348.5
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
4299.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
4195.3
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
4134.7
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
4123.1
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
4110.5
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
4059.0
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
3889.7
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
3851.8
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
3775.2
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
3694.8
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
3648.4
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
3548.4
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
3482.7
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3464.1
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
3459.9
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
3416.5
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
3251.8
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
3204.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
3192.3
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
3178.5
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
3137.9
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
3131.1
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
3107.6
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
3104.3
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
3078.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
3060.1
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
2996.1
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
2986.3
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2969.7
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
2915.8
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
2903.5
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
2889.2
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
2889.0
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
2855.8
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
2835.3
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
2826.5
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
2800.3
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
2775.4
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
2771.8
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
2753.3
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
2726.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
2718.0
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
2711.8
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
2700.5
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
2666.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
2641.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
2639.3
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2616.4
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
2596.6
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
2545.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
2535.9
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
2530.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2529.9
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
2522.4
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
2508.6
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
2458.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
2436.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
2405.6
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2358.7
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
2346.7
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
2343.2
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
2338.3
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
2323.8
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
2323.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
2307.1
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
2301.7
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
2301.2
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
2299.8
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2292.4
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
2281.7
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
2276.1
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
2267.6
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
2262.5
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2251.5
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2236.7
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
2234.5
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
2214.6
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
2205.1
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
2201.9
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
2201.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
2195.5
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
2189.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
2182.4
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
2170.8
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
2170.1
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
2159.2
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
2140.1
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
2133.5
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
2132.9
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
2107.9
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
2095.9
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
2087.3
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
2080.4
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
2062.1
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
2050.2
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
2048.5
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
2036.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
2024.5
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2023.9
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
2023.9
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2010.9
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
2001.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
1995.7
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1994.5
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
1983.5
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1980.7
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
1976.5
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
1971.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
1954.8
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1949.4
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
1947.9
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1937.9
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
1926.5
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1921.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1915.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
1913.0
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
1912.0
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
1900.2
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
1895.2
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1894.3
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
1891.1
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1882.5
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
1880.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
1880.0
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
1875.6
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
1873.5
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
1870.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1866.8
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
1866.5
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
1863.5
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
1850.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
1839.3
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
1834.7
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
1828.2
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
1828.2
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
1827.1
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1827.0
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
1824.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
1821.8
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
1820.9
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1816.6
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1815.3
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
1807.8
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
1781.7
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
1778.9
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
1758.3
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
1743.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
1739.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
1737.3
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1734.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
1734.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
1728.8
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
1724.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
1717.1
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
1716.4
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
1712.9
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
1699.6
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
1688.1
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
1685.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1685.5
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1668.1
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
1660.0
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
1654.2
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
1645.2
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
1634.6
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
1632.3
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1629.0
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
1619.7
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1617.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
1612.7
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
1608.0
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1604.5
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
1604.2
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
1601.9
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1586.0
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
1579.6
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
1569.3
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1566.5
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
1565.2
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1565.1
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1564.0
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
1562.1
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
1561.0
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
1559.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1559.0
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
1556.4
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
1549.8
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
1549.1
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
1547.0
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
1546.9
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
1529.4
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1528.6
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
1523.1
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
1522.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
1513.6
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
1512.7
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
1512.2
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
1512.2
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
1511.8
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1510.7
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
1508.1
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1503.9
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
1503.2
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
1503.1
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
1499.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
1497.5
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
1493.7
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
1492.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
1481.6
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1478.3
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
1473.9
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
1469.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
1469.0
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
1467.9
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1465.8
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
1465.5
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1460.2
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1444.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
1442.9
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1434.8
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
1434.1
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
1433.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1427.9
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
1418.5
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
1417.8
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
1407.7
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1406.8
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
1400.6
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1399.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
1398.0
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
1397.8
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1396.5
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
1396.4
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
1396.3
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
1391.8
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1391.0
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1383.1
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
1382.3
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
1381.8
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
1381.2
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1378.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
1366.2
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1359.3
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
1344.4
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1338.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
1338.5
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1335.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1332.6
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
1330.9
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1323.7
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
1318.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
1318.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1314.9
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1287.3
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1284.9
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1283.8
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1280.7
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
1267.5
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
1267.3
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1266.9
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
1265.1
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
1263.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
1256.6
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
1256.4
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
1243.9
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
1238.4
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
1237.9
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
1236.9
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
1236.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
1234.1
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1228.6
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
1227.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1226.7
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1225.0
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
1220.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
1214.5
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1209.8
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
1207.2
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
1206.8
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
1203.9
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
1203.0
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
1180.7
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
1179.2
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
1179.0
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
1178.3
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
1175.0
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
1170.9
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1160.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
1158.8
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1155.4
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1150.7
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
1148.8
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
1145.6
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
1145.0
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
1144.5
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1142.3
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
1134.3
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
1129.6
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
1128.7
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
1120.6
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
1114.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
1111.5
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1098.4
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
1092.0
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
1088.2
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1087.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
1087.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
1085.3
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
1077.1
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
1074.8
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1070.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1065.5
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1064.6
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1063.5
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
1059.7
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
1056.8
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
1041.1
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1037.1
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
1035.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
1034.7
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
1034.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1030.8
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
1030.0
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1029.8
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
1027.4
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
1022.0
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1020.3
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
1019.4
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
1011.5
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1008.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1002.9
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
1002.7
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
997.3
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
997.2
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
995.5
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
991.1
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
971.8
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
969.5
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
969.0
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
964.7
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
962.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
962.7
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
962.5
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
962.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
956.9
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
949.4
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
947.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
937.9
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
931.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
931.2
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
929.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
925.9
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
925.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
924.1
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
920.2
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
918.6
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
910.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
892.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
888.5
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
877.5
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
873.6
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
862.5
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
858.6
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
857.3
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
854.3
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
854.1
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
841.9
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
826.4
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
824.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
823.1
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
808.6
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
808.3
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
789.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
780.5
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
780.3
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
779.7
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
777.5
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
777.3
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
773.3
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
767.1
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
764.3
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
761.0
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
760.5
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
754.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
750.1
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
749.9
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
743.8
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
739.5
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
735.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
727.9
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
725.1
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
721.1
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
706.5
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
702.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
700.3
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
698.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
697.3
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
683.0
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
680.7
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
677.0
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
668.0
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
655.2
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
653.6
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
652.5
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
652.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
650.4
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
649.0
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
640.8
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
631.4
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
604.4
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
591.6
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
577.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
574.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
565.2
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
563.9
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
563.8
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
549.7
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
548.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
543.5
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
538.5
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
536.0
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
535.2
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
534.4
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
533.9
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
526.8
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
517.7
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
514.8
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
509.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
507.3
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
506.0
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
505.6
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
495.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
494.9
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
493.7
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
491.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
486.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
485.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
482.9
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
480.7
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
480.6
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
479.6
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
472.3
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
470.8
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
462.0
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
439.9
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
438.8
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
434.8
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
416.8
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
407.8
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
399.6
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
393.2
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
390.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
385.0
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
376.7
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
369.6
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
346.4
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
337.1
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
334.7
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
329.8
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
322.1
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
317.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
284.1
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
269.1
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
263.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
258.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
243.2
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
216.9
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
208.2
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
186.3
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
185.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
177.9
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
169.9
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
160.4
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
150.3
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
146.5
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
127.6
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
127.4
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
125.0
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
121.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
117.3
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
113.2
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
112.2
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
103.3
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
98.5
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
97.0
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
68.6
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
61.3
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
59.0
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
54.2
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
50.5
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
45.4
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
40.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
34.6
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
27.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
16.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
8.6
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
2.5
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
1.4
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
1.1
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 TPM
997.9
Number of samples
100
Samples
Sample
Description
TPM
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
3281.7
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
2629.6
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
2394.0
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
2187.7
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2075.4
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2011.8
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
1960.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
1925.9
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1859.5
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
1855.1
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1735.6
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
1731.3
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1730.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1619.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
1610.9
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
1596.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1574.3
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1558.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
1529.6
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
1488.7
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
1469.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
1446.3
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
1414.3
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1414.1
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
1385.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1364.5
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1337.9
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
1298.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
1285.4
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1245.2
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
1226.0
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
1185.9
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1181.2
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1181.1
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
1180.1
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1169.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
1140.4
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1128.8
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
1126.6
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1124.3
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1105.8
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
1098.8
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
1078.8
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1067.5
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1062.8
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1054.9
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1045.1
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
1042.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
1023.3
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1022.8
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
967.7
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
958.6
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
921.5
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
920.4
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
910.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
900.2
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
874.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
846.6
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
843.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
832.1
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
821.4
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
813.7
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
809.3
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
807.2
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
801.7
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
741.7
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
735.3
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
722.8
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
708.6
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
674.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
663.3
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
662.0
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
650.2
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
593.9
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
564.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
541.6
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
480.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
468.9
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
413.1
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
403.9
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
379.2
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
374.2
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
364.5
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
317.7
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
274.9
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
232.5
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
225.8
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
199.1
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
196.8
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
161.9
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
150.6
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
108.5
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
106.1
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
102.9
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
76.6
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
75.3
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
40.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
38.3
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
24.6
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 TPM
1674.3
Number of samples
282
Samples
Sample
Description
TPM
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
8588.1
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
7045.0
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
6885.7
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
6707.0
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
6009.1
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
5087.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
5046.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
4998.4
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
4818.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
4611.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
4535.1
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
4343.8
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
4084.5
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
4009.8
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3996.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
3846.1
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
3640.3
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
3552.9
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
3519.2
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
3482.7
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
3468.5
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3325.0
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
3320.0
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
3297.3
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
3236.0
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
3225.9
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
3211.7
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
3190.5
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
3186.0
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3166.8
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3166.7
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
3146.6
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
3131.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
3077.2
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
3044.8
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
3030.4
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3028.7
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
3021.0
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
3005.4
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
2998.2
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2971.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
2956.2
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
2913.0
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
2908.7
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
2906.9
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
2889.0
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
2865.6
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2805.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2745.9
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
2702.1
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
2682.3
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
2652.6
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
2633.8
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
2588.3
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
2587.9
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
2548.4
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
2511.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
2503.1
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
2433.9
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
2418.6
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
2372.4
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
2318.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
2263.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
2258.2
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
2249.7
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
2229.0
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
2182.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2178.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
2140.6
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
2113.5
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
2102.6
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
2090.2
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
2049.2
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
2042.7
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
2000.9
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1999.1
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
1997.4
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
1956.2
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
1936.4
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
1936.1
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
1931.9
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
1931.1
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
1917.6
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
1886.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1861.1
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1852.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
1844.6
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
1840.7
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
1829.6
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1820.0
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
1817.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
1817.4
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
1779.5
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
1777.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
1770.6
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
1767.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
1763.2
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
1758.0
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
1757.9
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1755.8
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
1731.8
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
1725.8
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
1719.8
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
1697.2
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
1693.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
1687.9
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
1671.3
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1658.2
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
1657.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
1645.9
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
1642.2
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
1639.2
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
1622.3
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
1620.7
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
1617.3
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1615.7
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1611.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
1606.1
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
1601.3
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
1601.1
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
1591.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
1589.6
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
1568.8
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
1561.0
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
1560.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
1558.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
1548.8
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
1541.3
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
1536.4
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
1511.5
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
1504.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
1500.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
1494.8
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
1491.9
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1490.1
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
1487.7
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1435.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
1416.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
1414.8
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1413.6
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
1405.5
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
1400.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
1395.4
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
1384.0
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
1349.6
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
1337.4
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
1335.5
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
1333.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1319.3
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
1296.8
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
1292.6
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1288.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
1251.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
1250.5
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
1249.4
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
1248.6
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
1247.7
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
1244.5
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
1240.0
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
1234.9
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
1204.1
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
1201.0
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
1199.3
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
1198.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
1189.4
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
1184.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
1181.2
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
1178.5
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1174.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
1156.0
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
1151.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
1146.1
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
1129.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
1116.8
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
1116.2
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
1114.3
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
1111.6
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
1107.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
1104.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
1100.8
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
1093.8
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
1084.1
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
1083.4
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
1069.4
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
1061.7
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
1053.0
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
1043.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
1039.1
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
1027.0
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
1024.4
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
1021.2
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1017.6
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
1006.7
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
995.7
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
967.3
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
965.6
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
965.0
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
962.8
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
934.5
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
934.1
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
921.1
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
913.7
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
905.1
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
892.1
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
875.7
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
838.6
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
821.9
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
818.7
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
803.8
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
798.1
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
795.5
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
786.7
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
786.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
780.1
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
772.9
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
769.5
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
764.2
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
755.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
754.2
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
754.2
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
750.9
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
745.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
738.5
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
736.0
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
730.0
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
726.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
721.4
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
707.5
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
706.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
691.0
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
689.7
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
646.7
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
636.9
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
632.7
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
630.2
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
625.4
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
624.5
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
612.3
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
610.6
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
608.9
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
591.3
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
589.3
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
580.9
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
577.6
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
566.6
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
561.3
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
556.6
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
553.0
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
525.7
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
523.0
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
514.0
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
509.0
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
505.6
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
500.4
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
470.1
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
464.9
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
455.4
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
453.8
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
434.0
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
432.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
356.5
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
342.4
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
340.8
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
340.7
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
334.9
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
299.4
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
290.5
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
276.8
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
251.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
211.6
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
183.6
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
155.8
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
140.4
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
131.1
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
96.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
85.4
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
49.3
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
9.3
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
4.6
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
1.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
0.9
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
