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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.
EPB41L1 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
42.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
195.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
129.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
127.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
118.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
111.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
108.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
106.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
103.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
99.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
98.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
95.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
92.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
92.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
88.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
86.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
86.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
85.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
79.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
79.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
77.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
76.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
74.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
72.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
72.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
69.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
69.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
68.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
68.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
68.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
63.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
61.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
60.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
59.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
58.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
58.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
57.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
56.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
56.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
55.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
55.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
53.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
53.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
53.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
51.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
51.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
50.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
47.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
45.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
45.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
42.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
41.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
39.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
39.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
37.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
37.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
33.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
33.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
31.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
31.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
30.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
29.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
28.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
27.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
25.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
24.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
24.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
22.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
21.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
20.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
17.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
14.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
6.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
EPB41L1 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
61.1
Number of samples
486
Samples
Sample
Description
TPM
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
203.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
200.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
179.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
176.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
161.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
156.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
150.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
148.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
146.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
145.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
144.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
143.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
142.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
142.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
141.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
138.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
136.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
135.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
132.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
130.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
129.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
128.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
127.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
127.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
126.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
125.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
125.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
122.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
122.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
120.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
119.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
119.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
119.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
119.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
117.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
117.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
114.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
113.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
113.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
111.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
111.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
110.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
110.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
109.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
109.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
108.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
107.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
107.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
106.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
106.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
105.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
105.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
104.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
102.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
102.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
100.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
100.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
99.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
98.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
98.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
98.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
97.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
97.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
97.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
97.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
96.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
96.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
95.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
95.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
95.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
95.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
93.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
93.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
91.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
90.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
90.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
89.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
89.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
89.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
89.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
88.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
88.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
87.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
87.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
87.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
87.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
86.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
86.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
85.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
85.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
85.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
84.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
84.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
83.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
83.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
82.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
81.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
80.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
80.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
80.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
80.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
79.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
79.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
78.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
78.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
77.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
77.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
77.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
77.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
76.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
76.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
76.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
76.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
75.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
74.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
73.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
73.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
73.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
73.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
72.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
72.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
71.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
71.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
70.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
69.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
68.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
68.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
68.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
67.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
67.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
67.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
66.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
66.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
66.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
64.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
64.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
64.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
63.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
62.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
61.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
61.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
59.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
59.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
58.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
57.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
55.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
52.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
49.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
47.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
46.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
45.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
45.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
41.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
37.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
37.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
34.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
32.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
32.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
31.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
30.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
30.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
29.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
28.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
28.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
26.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
25.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
25.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
24.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
24.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
24.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
23.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
22.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
21.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
20.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
20.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
20.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
20.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
19.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
19.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
18.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
18.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
18.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
17.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
17.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
16.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
16.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
15.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
15.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
13.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
13.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
11.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
8.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
7.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
EPB41L1 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
48.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
126.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
106.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
106.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
100.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
97.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
97.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
93.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
93.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
93.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
93.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
93.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
90.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
88.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
85.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
76.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
65.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
64.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
63.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
63.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
61.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
61.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
49.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
48.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
38.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
32.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
27.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
27.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
24.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
24.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.2
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.
EPB41L1 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
64.8
Number of samples
207
Samples
Sample
Description
TPM
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
174.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
152.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
150.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
141.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
133.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
132.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
131.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
128.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
125.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
123.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
122.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
119.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
117.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
114.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
112.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
110.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
107.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
106.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
106.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
104.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
104.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
103.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
103.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
102.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
102.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
99.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
99.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
99.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
97.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
96.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
95.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
94.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
93.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
93.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
91.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
91.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
90.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
89.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
88.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
87.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
85.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
85.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
85.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
85.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
84.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
81.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
80.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
80.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
79.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
79.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
79.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
78.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
77.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
76.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
76.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
75.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
74.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
74.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
74.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
72.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
72.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
71.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
70.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
68.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
67.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
66.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
65.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
65.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
64.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
63.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
62.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
61.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
61.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
60.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
59.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
58.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
57.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
55.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
53.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
52.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
45.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
39.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
39.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
35.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
32.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
24.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
23.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
23.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
21.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Normal
0.4
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Normal
0.4
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Tumor
0.4
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Tumor
0.4
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.2
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Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
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Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
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Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
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Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
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Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.2
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Tumor
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Normal
-0.2
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Tumor
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Tumor
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
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Normal
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
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Tumor
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Tumor
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Normal
-0.3
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Normal
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.0
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
