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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.
RCC1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
50.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
141.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
138.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
106.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
102.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
94.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
92.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
89.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
86.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
86.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
82.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
81.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
78.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
78.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
77.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
77.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
77.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
75.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
75.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
75.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
75.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
73.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
71.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
71.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
70.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
70.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
69.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
69.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
69.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
69.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
68.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
68.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
68.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
67.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
67.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
67.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
66.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
65.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
65.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
65.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
65.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
64.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
64.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
64.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
63.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
63.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
63.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
62.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
61.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
61.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
61.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
60.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
59.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
58.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
58.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
58.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
58.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
57.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
57.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
57.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
56.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
55.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
55.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
55.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
54.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
53.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
53.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
52.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
50.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
49.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
49.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
49.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
49.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
49.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
48.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
48.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
46.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
45.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
45.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
45.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
45.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
43.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
42.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
41.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
41.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
40.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
40.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
40.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
38.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
36.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
35.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
34.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
29.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
27.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
18.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
RCC1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
52.7
Number of samples
486
Samples
Sample
Description
TPM
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
233.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
129.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
123.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
116.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
114.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
112.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
110.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
105.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
103.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
102.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
99.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
97.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
96.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
95.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
95.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
95.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
94.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
93.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
93.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
93.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
92.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
92.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
92.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
91.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
90.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
90.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
89.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
89.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
89.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
88.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
87.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
87.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
86.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
85.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
85.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
84.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
83.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
82.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
82.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
81.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
79.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
78.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
77.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
75.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
75.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
74.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
74.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
74.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
74.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
74.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
74.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
74.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
74.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
74.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
73.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
73.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
73.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
73.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
73.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
71.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
71.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
70.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
70.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
70.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
68.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
68.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
67.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
67.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
67.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
65.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
65.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
65.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
65.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
64.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
63.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
62.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
60.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
60.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
60.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
58.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
56.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
56.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
56.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
55.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
55.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
53.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
53.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
52.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
52.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
51.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
51.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
50.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
50.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
49.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
49.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
48.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
47.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
47.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
39.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
38.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
37.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
36.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
35.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
34.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
32.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
28.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
28.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
28.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
27.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
27.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
27.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
27.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
26.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
26.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
26.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
26.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
25.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
24.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
23.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
23.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
20.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
20.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
19.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
15.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
RCC1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
117.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
117.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
114.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
105.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
86.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
85.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
85.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
78.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
75.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
75.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
69.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
68.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
68.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
67.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
66.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
63.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
60.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
60.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
59.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
52.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
51.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
45.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
44.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
43.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
39.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
38.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
36.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
16.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
RCC1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
43.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
94.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
93.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
82.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
81.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
80.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
79.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
78.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
76.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
68.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
68.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
67.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
66.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
63.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
62.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
61.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
60.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
60.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
60.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
57.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
54.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
54.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
48.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
40.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
34.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
33.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
32.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
31.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
30.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
28.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
26.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
26.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
25.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
25.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
24.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
24.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
24.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
20.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
19.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
18.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
17.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
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Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
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Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
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Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
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Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.2
Show allShow less
COLORECTAL 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
