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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.
SPP1 is not prognostic in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1858.2
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
25749.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
12630.6
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
8593.8
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
5834.5
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
5071.6
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
4212.5
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
3944.6
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
3735.2
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
3668.6
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
3357.5
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
3047.2
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
2900.4
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
2795.0
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
2237.1
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
1864.0
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
1761.3
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
1735.4
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
1732.7
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
1731.5
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
1534.0
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
1302.7
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
1234.1
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
1226.6
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
1213.4
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
1077.9
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
1021.2
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
886.9
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
884.2
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
862.2
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
857.5
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
819.9
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
723.8
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
723.4
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
715.1
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
680.4
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
564.9
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
475.3
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
430.6
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
421.1
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
401.7
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
400.6
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
398.9
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
285.5
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
284.9
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
271.3
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
269.2
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
260.2
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
250.2
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
232.7
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
224.7
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
219.1
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
212.0
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
200.9
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
148.6
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
118.9
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
103.3
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
99.0
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
72.7
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
71.8
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
38.3
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
33.0
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
30.6
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
30.2
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 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.
SPP1 is not prognostic in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1668.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
17664.6
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
16539.4
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
16311.3
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
14624.7
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
10150.2
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
9636.1
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
9071.7
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
8106.9
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
7610.1
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
7214.1
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
7076.6
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
7071.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6727.5
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
5747.4
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
5574.9
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
5443.5
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
5304.2
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
5014.7
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
4903.9
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
4892.7
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
4786.1
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
4739.5
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
4715.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
4696.6
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4619.2
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
4445.2
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
4374.5
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4135.9
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
4089.7
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
4081.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
4040.6
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
4010.8
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
3936.4
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
3837.0
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
3834.4
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
3732.7
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
3698.5
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
3659.0
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
3612.4
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
3521.6
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
3511.5
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
3496.8
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
3477.4
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
3406.3
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
3400.7
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
3374.6
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
3369.2
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
3365.7
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
3288.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
3288.4
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
3282.4
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
3246.0
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
3239.9
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
3210.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
3193.1
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
3175.0
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
3171.2
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
3164.6
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
3134.5
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
3133.1
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
3077.2
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
3045.5
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
3037.0
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
3014.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
2966.4
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
2946.7
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
2946.0
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
2933.4
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
2888.6
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
2877.8
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
2865.4
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
2825.1
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
2776.6
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
2769.7
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
2726.2
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
2670.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
2624.8
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
2594.4
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
2575.2
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
2525.1
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
2516.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
2474.7
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
2474.4
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
2471.3
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
2470.2
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
2465.2
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
2438.9
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
2438.2
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
2425.4
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
2424.3
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
2423.3
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
2374.6
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
2371.7
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
2367.8
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
2365.8
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
2322.1
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
2318.6
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
2316.9
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
2311.1
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
2244.5
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
2232.2
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
2211.5
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
2194.5
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
2172.5
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
2172.4
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
2165.7
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
2159.0
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
2151.8
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
2137.7
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
2133.7
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
2104.0
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
2088.8
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
2085.9
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
2084.8
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
2066.6
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
2053.3
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
2048.9
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
2027.8
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
2014.7
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
2009.0
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
1997.9
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
1993.7
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
1990.5
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
1986.1
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
1968.1
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
1964.0
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
1956.2
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
1955.4
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
1948.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
1940.2
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
1938.5
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
1926.1
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
1900.7
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
1898.5
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
1891.7
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
1880.7
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
1874.7
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
1862.1
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
1857.0
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
1846.5
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
1837.8
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
1837.7
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
1837.0
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
1835.9
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
1834.8
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
1825.4
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
1793.5
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
1781.6
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
1776.4
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
1763.3
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
1737.4
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
1735.6
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
1734.6
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
1716.2
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
1713.6
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
1707.9
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
1699.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
1694.7
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
1688.2
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
1678.2
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
1674.2
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
1670.7
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
1665.3
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
1659.3
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
1656.8
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
1655.4
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
1650.3
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
1649.2
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
1648.2
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
1647.7
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
1643.1
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
1640.6
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
1631.5
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
1619.0
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
1616.6
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
1615.2
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
1614.6
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
1613.8
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
1611.3
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
1607.8
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
1607.2
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
1605.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
1601.4
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
1601.2
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
1593.8
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
1590.8
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
1588.4
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
1587.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
1578.4
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
1577.3
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
1569.9
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
1556.2
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
1551.4
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
1546.9
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
1541.4
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
1523.1
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
1504.8
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
1504.3
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
1501.0
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
1496.4
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
1495.6
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
1489.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
1489.0
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
1487.2
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
1480.8
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
1480.1
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
1472.7
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
1472.2
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
1471.5
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
1469.6
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
1463.0
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
1449.1
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
1447.7
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
1447.1
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
1445.8
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
1439.9
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
1438.5
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
1416.9
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
1416.4
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
1409.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
1403.8
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
1401.0
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
1393.6
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
1391.6
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
1391.2
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
1386.0
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
1379.6
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
1375.8
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
1370.5
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
1363.2
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
1360.3
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
1358.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
1353.9
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
1349.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
1348.4
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
1336.7
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
1336.2
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
1325.7
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
1318.8
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
1317.7
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
1317.1
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
1312.0
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
1310.8
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
1303.3
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
1302.3
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
1301.5
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
1298.6
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
1298.6
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
1295.4
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
1290.4
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
1285.0
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
1280.7
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
1264.2
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
1249.6
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
1246.5
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
1246.0
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
1242.8
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
1238.1
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
1235.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
1235.0
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
1227.8
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
1220.1
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
1197.1
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
1194.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
1194.0
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
1191.7
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
1190.2
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
1189.2
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
1186.1
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
1183.7
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
1177.6
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
1151.0
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
1141.5
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
1140.6
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
1140.3
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
1131.8
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
1131.7
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
1130.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
1126.0
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1124.8
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
1114.3
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
1105.1
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
1104.0
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
1103.2
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
1095.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
1085.4
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
1082.5
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
1080.6
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
1080.3
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
1071.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
1040.1
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
1037.5
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
1034.9
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
1023.5
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
1021.4
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
1021.4
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
1017.9
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
1016.2
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
1010.1
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
1007.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
1004.5
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
998.1
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
997.6
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
996.6
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
989.7
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
981.3
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
981.1
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
975.8
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
975.6
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
975.1
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
972.8
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
968.2
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
966.7
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
966.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
957.6
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
954.4
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
953.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
952.9
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
942.5
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
933.9
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
932.8
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
928.4
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
925.1
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
924.8
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
921.2
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
917.9
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
917.7
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
916.0
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
913.6
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
912.6
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
908.1
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
899.5
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
896.5
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
893.6
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
892.4
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
891.8
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
890.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
889.7
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
887.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
885.4
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
885.1
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
884.4
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
878.7
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
869.9
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
869.4
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
868.4
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
865.2
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
864.3
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
850.5
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
849.3
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
849.0
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
845.1
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
843.6
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
840.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
840.0
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
835.0
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
832.5
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
830.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
822.1
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
820.2
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
819.0
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
816.6
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
814.3
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
813.3
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
799.2
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
798.2
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
797.2
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
791.2
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
790.7
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
789.3
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
787.9
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
787.4
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
774.3
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
773.0
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
771.0
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
768.8
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
768.2
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
757.6
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
755.6
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
755.2
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
753.8
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
743.3
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
739.2
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
734.8
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
724.7
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
717.3
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
714.6
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
707.0
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
706.1
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
705.1
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
702.2
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
692.7
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
688.5
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
685.9
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
685.6
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
685.5
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
676.3
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
675.7
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
675.5
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
671.0
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
667.7
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
664.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
663.0
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
662.3
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
662.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
659.6
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
656.0
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
652.9
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
652.8
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
652.2
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
649.7
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
648.0
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
647.0
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
642.8
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
638.7
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
636.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
634.4
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
631.1
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
628.0
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
623.3
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
620.5
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
620.1
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
612.9
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
605.4
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
601.4
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
599.7
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
595.0
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
594.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
593.1
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
588.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
587.2
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
577.6
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
575.5
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
574.8
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
573.1
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
571.4
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
559.7
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
533.2
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
526.5
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
513.8
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
510.3
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
502.7
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
500.6
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
498.6
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
492.6
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
491.7
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
491.1
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
489.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
486.6
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
464.5
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
464.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
462.3
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
456.6
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
451.5
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
450.5
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
446.4
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
438.6
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
431.3
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
429.5
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
428.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
423.1
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
417.4
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
417.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
410.0
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
405.0
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
404.1
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
403.5
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
396.3
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
393.5
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
383.4
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
377.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
376.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
375.6
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
368.8
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
366.7
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
363.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
363.6
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
359.7
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
359.3
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
354.3
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
351.9
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
351.1
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
351.1
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
347.0
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
338.8
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
334.0
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
328.8
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
315.6
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
300.2
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
299.5
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
293.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
283.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
280.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
275.7
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
268.2
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
255.8
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
235.6
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
232.6
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
232.3
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
223.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
220.6
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
201.9
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
199.6
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
191.9
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
190.5
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
184.9
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
150.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
129.0
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
126.5
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
123.1
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
119.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
110.3
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
108.9
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
105.1
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
103.5
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
101.9
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
96.1
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
94.6
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
49.1
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
44.8
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPP1 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2346.5
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
11334.5
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
9136.5
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
6895.0
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
6781.9
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
6311.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
6162.8
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
5680.2
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
5583.4
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
5526.6
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
5476.5
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
4774.2
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
4467.3
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4248.4
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
3922.0
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
3772.8
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
3753.8
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
3683.4
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
3640.5
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
3511.8
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
3389.0
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
3369.4
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
3272.4
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
3199.3
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
3165.4
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
3122.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
3090.2
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
3084.5
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
3083.6
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
2859.9
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
2743.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
2503.5
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
2501.2
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
2493.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
2443.5
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
2339.2
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
2305.9
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
2229.3
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
2228.6
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
2154.8
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
2133.2
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
2055.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
1991.2
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
1984.8
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
1950.5
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
1861.0
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
1840.6
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
1833.9
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
1822.1
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1758.4
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
1757.7
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
1714.1
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
1703.2
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
1683.1
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
1665.2
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
1648.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
1641.5
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
1585.7
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
1540.3
ccRCC-30
64 years, male, NA, stage:pT2N0M0, dead, 420 days
1537.5
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
1500.1
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
1495.8
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
1435.9
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
1434.4
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
1379.7
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
1293.7
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
1227.6
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
1189.7
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
1158.7
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
1141.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
1138.1
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
1115.6
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
1090.4
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
1088.4
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
1070.8
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
1069.4
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
1065.7
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
1050.4
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
1043.1
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
1035.3
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
1004.7
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
978.9
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
947.8
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
925.6
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
877.9
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
857.5
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
817.9
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
809.0
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
790.3
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
774.7
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
763.7
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
756.3
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
668.3
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
655.1
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
618.7
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
599.6
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
492.1
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
479.3
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
420.4
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
354.1
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPP1 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
6722.3
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
31365.7
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
27873.9
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
26075.6
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
23774.0
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
21593.2
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
20989.3
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
20084.9
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
19766.4
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
18579.9
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
18432.8
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
18386.6
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
17311.8
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
17303.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
17021.7
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
16629.7
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
16518.6
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
16141.6
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
16137.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
16072.5
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
16049.3
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
16031.0
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
15783.3
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
15671.6
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
15069.2
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
14958.3
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
14223.3
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
14061.2
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
13651.7
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
13210.7
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
13203.8
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
13137.3
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
13024.9
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
12834.6
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
12829.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
12762.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
12655.8
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
12581.6
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
12232.3
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
12153.8
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
12143.6
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
11957.0
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
11892.6
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
11758.9
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
11588.9
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
11571.8
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
11439.4
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
11286.9
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
11280.3
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
11245.1
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
10975.2
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
10960.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
10869.0
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
10584.0
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
10366.1
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
10177.9
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
10092.5
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
10034.8
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
10027.9
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
10022.8
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
9915.5
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
9891.7
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
9880.6
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
9757.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
9597.2
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
9558.1
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
9503.4
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
9471.9
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
9383.6
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
9201.9
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
9181.2
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
9176.6
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
9121.7
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
9086.3
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
8709.6
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
8700.4
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
8679.0
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
8497.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
8399.3
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
8391.3
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
8373.2
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
8291.7
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
8251.1
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
8130.6
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
8094.9
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
8045.9
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
7937.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
7796.6
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
7772.1
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
7734.2
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
7724.7
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
7659.9
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
7642.1
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
7631.4
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
7433.6
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
7421.7
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
7383.2
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
7381.1
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
7367.0
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
7350.5
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
7294.9
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
7257.3
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
7256.2
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
7255.9
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
7181.3
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
7149.7
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
7091.4
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
7024.5
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
6915.4
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
6840.3
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
6779.0
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
6752.1
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
6744.2
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
6637.4
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
6574.1
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
6567.3
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
6550.7
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
6470.8
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
6434.7
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
6421.7
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
6416.4
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
6390.1
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
6334.4
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
6330.6
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
6302.5
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
6216.2
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
6205.2
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
6181.0
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
6072.5
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
6040.4
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
6031.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
6021.6
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
6015.5
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
5826.9
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
5798.8
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
5777.3
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
5764.1
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
5759.6
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
5721.6
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
5582.3
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
5473.8
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
5411.6
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
5373.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
5371.6
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
5300.8
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
5263.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
5228.9
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
5118.5
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
5100.5
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
4996.2
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
4934.1
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
4919.7
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
4840.8
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
4803.3
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
4803.2
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
4782.9
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
4753.4
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
4751.6
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
4740.7
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
4715.3
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
4686.0
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
4682.1
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
4654.5
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
4622.4
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
4611.6
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
4611.2
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
4566.8
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
4555.9
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
4462.9
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
4422.2
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
4380.4
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
4367.2
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
4363.3
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
4261.6
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
4226.9
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
4180.1
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
4160.7
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
4135.9
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
4093.6
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
4036.1
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
4034.1
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
3962.2
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
3856.7
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
3837.4
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
3749.0
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
3723.5
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
3690.3
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
3689.4
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
3679.1
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
3673.1
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
3655.4
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
3631.4
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
3579.4
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
3541.8
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
3510.6
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
3490.8
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
3414.8
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
3398.7
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
3356.2
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
3316.5
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
3263.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
3237.1
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
3213.6
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
3186.9
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
3181.7
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
3168.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
3104.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
3039.4
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
3009.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
2989.5
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
2986.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
2958.7
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
2952.6
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
2947.6
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
2924.1
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
2882.0
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
2740.0
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
2722.0
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
2716.9
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
2712.7
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
2710.0
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
2703.4
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
2622.7
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
2620.8
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
2534.2
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
2531.7
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
2517.8
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
2476.4
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
2474.6
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
2461.7
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
2366.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
2365.5
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
2342.7
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
2322.9
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
2218.4
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
2217.0
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
2161.6
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
2108.3
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
2103.0
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
2055.3
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
2041.6
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
2016.5
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
1932.3
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
1926.9
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
1903.5
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
1902.6
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
1877.5
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
1858.2
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
1800.0
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
1778.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
1768.9
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
1765.5
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
1765.1
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
1642.3
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
1584.6
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
1582.0
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
1554.7
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
1476.3
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
1436.3
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
1434.2
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
1371.9
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
1343.1
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
1335.9
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
1334.6
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
1272.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
1182.2
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1172.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
1113.4
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
1077.3
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
1049.6
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
912.5
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
841.3
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
830.2
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
541.5
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
538.2
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
532.5
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
410.7
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
175.8
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
68.7
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
54.0
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
43.4
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
40.4
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
31.2
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0084590001
Normal
3.4
CPT0075170001
Normal
3.0
CPT0001270001
Normal
2.3
CPT0076330003
Tumor
2.3
CPT0089040001
Normal
2.0
CPT0001190001
Normal
1.6
CPT0077320001
Normal
1.5
CPT0006530001
Normal
1.4
CPT0017850003
Tumor
1.2
CPT0063630003
Tumor
1.2
CPT0023350003
Tumor
1.1
CPT0084560003
Tumor
1.1
CPT0088710001
Normal
1.0
CPT0075570001
Normal
1.0
CPT0092190003
Normal
1.0
CPT0012550003
Tumor
0.8
CPT0063640001
Normal
0.7
CPT0017450001
Normal
0.6
CPT0000660001
Normal
0.6
CPT0012180003
Tumor
0.5
CPT0069160003
Tumor
0.5
CPT0011410003
Tumor
0.5
CPT0000640003
Tumor
0.5
CPT0081880003
Tumor
0.5
CPT0092310003
Normal
0.4
CPT0020120003
Tumor
0.4
CPT0018250001
Normal
0.3
CPT0012280003
Tumor
0.2
CPT0079180003
Tumor
0.2
CPT0007860003
Tumor
0.2
CPT0088570001
Normal
0.1
CPT0002350011
Tumor
0.1
CPT0065750003
Tumor
0.1
CPT0014130001
Normal
0.1
CPT0076350001
Normal
0.1
CPT0064370003
Tumor
0.0
CPT0078800003
Tumor
0.0
CPT0066520001
Normal
0.0
CPT0069190001
Normal
0.0
CPT0010120001
Normal
0.0
CPT0025050003
Tumor
-0.1
CPT0012670003
Tumor
-0.1
CPT0017410003
Tumor
-0.1
CPT0092290003
Tumor
-0.1
CPT0078530001
Normal
-0.2
CPT0007470001
Normal
-0.2
CPT0082010001
Normal
-0.2
CPT0063330001
Normal
-0.2
CPT0086820003
Tumor
-0.2
CPT0077310003
Tumor
-0.2
CPT0001350001
Normal
-0.2
CPT0069000003
Tumor
-0.2
CPT0075130003
Tumor
-0.2
CPT0014160003
Tumor
-0.3
CPT0001500009
Tumor
-0.3
CPT0013790003
Normal
-0.3
CPT0009000003
Tumor
-0.3
CPT0065820001
Normal
-0.3
CPT0078510003
Tumor
-0.3
CPT0025170003
Tumor
-0.3
CPT0025230003
Tumor
-0.3
CPT0012290003
Normal
-0.3
CPT0066480003
Tumor
-0.4
CPT0087040003
Tumor
-0.4
CPT0086830003
Normal
-0.4
CPT0079300001
Normal
-0.4
CPT0012090003
Normal
-0.4
CPT0087050003
Normal
-0.5
CPT0007320003
Tumor
-0.5
CPT0023360001
Normal
-0.5
CPT0010170001
Normal
-0.5
CPT0026420001
Normal
-0.5
CPT0020130001
Normal
-0.5
CPT0025110003
Tumor
-0.5
CPT0001260009
Tumor
-0.5
CPT0012640003
Normal
-0.5
CPT0069010001
Normal
-0.6
CPT0079270003
Tumor
-0.6
CPT0088690003
Tumor
-0.6
CPT0012920003
Normal
-0.6
CPT0078840001
Normal
-0.6
CPT0065690003
Tumor
-0.6
CPT0088920001
Normal
-0.6
CPT0089020003
Tumor
-0.6
CPT0079510001
Normal
-0.6
CPT0077140001
Normal
-0.6
CPT0071150004
Tumor
-0.7
CPT0088780001
Normal
-0.7
CPT0015810003
Tumor
-0.7
CPT0019990003
Tumor
-0.7
CPT0079430001
Normal
-0.7
CPT0024670003
Tumor
-0.7
CPT0021240003
Tumor
-0.7
CPT0075560003
Tumor
-0.7
CPT0014470001
Normal
-0.7
CPT0064400001
Normal
-0.7
CPT0065870003
Tumor
-0.7
CPT0088480003
Tumor
-0.8
CPT0001550001
Normal
-0.8
CPT0088500001
Normal
-0.8
CPT0012770003
Normal
-0.8
CPT0012570003
Normal
-0.8
CPT0000790001
Normal
-0.8
CPT0078670001
Normal
-0.8
CPT0078940001
Normal
-0.8
CPT0025610001
Normal
-0.8
CPT0001510001
Normal
-0.8
CPT0063320003
Tumor
-0.8
CPT0079410003
Tumor
-0.8
CPT0023690003
Tumor
-0.8
CPT0086970003
Normal
-0.8
CPT0001340003
Tumor
-0.8
CPT0025060001
Normal
-0.8
CPT0089460004
Tumor
-0.8
CPT0012900004
Tumor
-0.8
CPT0086370003
Normal
-0.8
CPT0079480003
Tumor
-0.8
CPT0024680001
Normal
-0.8
CPT0012080003
Tumor
-0.9
CPT0077500001
Normal
-0.9
CPT0077110003
Tumor
-0.9
CPT0006900003
Tumor
-0.9
CPT0065930003
Tumor
-0.9
CPT0092790003
Tumor
-0.9
CPT0006950001
Normal
-0.9
CPT0086030003
Tumor
-0.9
CPT0000780007
Tumor
-0.9
CPT0086950003
Tumor
-0.9
CPT0092800003
Normal
-0.9
CPT0081620001
Normal
-0.9
CPT0086890003
Normal
-0.9
CPT0000890001
Normal
-0.9
CPT0015910003
Tumor
-0.9
CPT0023710001
Normal
-0.9
CPT0006730001
Normal
-0.9
CPT0065430003
Tumor
-0.9
CPT0009020003
Normal
-0.9
CPT0025880003
Tumor
-1.0
CPT0088640003
Normal
-1.0
CPT0085670003
Tumor
-1.0
CPT0079230003
Tumor
-1.0
CPT0002370001
Normal
-1.0
CPT0081600003
Tumor
-1.0
CPT0007870001
Normal
-1.1
CPT0001220008
Tumor
-1.1
CPT0065810003
Tumor
-1.1
CPT0002270011
Tumor
-1.1
CPT0078930003
Tumor
-1.1
CPT0092740003
Normal
-1.1
CPT0066430001
Normal
-1.1
CPT0078660003
Tumor
-1.1
CPT0079000001
Normal
-1.1
CPT0025290003
Tumor
-1.1
CPT0010110003
Tumor
-1.2
CPT0011240003
Tumor
-1.2
CPT0019130003
Tumor
-1.2
CPT0065450001
Normal
-1.2
CPT0092160003
Tumor
-1.2
CPT0025580004
Tumor
-1.2
CPT0000870016
Tumor
-1.2
CPT0089480003
Normal
-1.2
CPT0081990003
Tumor
-1.2
CPT0006630003
Tumor
-1.2
CPT0015730003
Tumor
-1.2
CPT0025350003
Tumor
-1.3
CPT0001180009
Tumor
-1.3
CPT0014350001
Normal
-1.3
CPT0086360003
Tumor
-1.3
CPT0025920001
Normal
-1.3
CPT0010160003
Tumor
-1.4
CPT0006440003
Tumor
-1.4
CPT0079380003
Tumor
-1.4
CPT0009080003
Normal
-1.4
CPT0092730003
Tumor
-1.4
CPT0077490003
Tumor
-1.5
CPT0078830003
Tumor
-1.5
CPT0088760003
Tumor
-1.5
CPT0019160001
Normal
-1.5
CPT0078990003
Tumor
-1.5
CPT0001540009
Tumor
-1.5
CPT0075720003
Tumor
-1.5
CPT0009060003
Tumor
-1.5
CPT0020020001
Normal
-1.5
CPT0086870003
Tumor
-1.5
CPT0088900003
Tumor
-1.6
CPT0088630003
Tumor
-1.6
CPT0014370004
Tumor
-1.6
CPT0066470004
Tumor
-1.7
CPT0001230001
Normal
-1.7
CPT0012370003
Tumor
-1.7
CPT0014450004
Tumor
-1.8
CPT0088550004
Tumor
-1.8
CPT0026410003
Tumor
-2.1
CPT0088970003
Tumor
-2.5
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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
