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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.
SELENOM 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
64.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
362.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
270.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
256.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
241.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
229.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
215.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
214.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
199.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
194.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
188.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
186.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
172.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
172.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
166.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
159.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
149.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
145.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
145.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
141.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
139.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
138.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
133.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
133.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
132.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
127.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
123.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
120.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
116.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
112.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
111.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
110.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
109.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
109.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
106.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
105.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
103.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
103.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
101.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
101.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
98.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
98.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
98.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
98.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
98.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
98.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
97.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
96.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
96.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
95.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
93.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
93.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
91.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
90.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
89.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
88.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
88.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
86.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
86.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
85.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
83.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
83.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
82.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
81.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
81.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
79.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
79.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
79.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
78.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
77.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
76.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
75.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
74.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
74.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
73.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
72.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
72.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
69.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
69.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
68.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
68.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
66.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
66.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
66.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
65.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
64.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
64.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
64.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
63.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
63.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
62.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
62.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
61.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
60.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
60.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
58.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
53.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
52.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
51.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
49.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
48.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
48.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
48.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
47.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
47.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
46.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
45.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
44.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
43.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
43.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
43.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
42.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
41.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
40.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
33.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
32.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
31.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
28.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
28.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
27.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
26.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
25.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
19.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
18.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
18.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
17.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
16.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
12.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
SELENOM 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
57.8
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
204.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
192.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
192.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
191.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
171.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
170.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
168.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
154.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
144.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
137.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
136.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
129.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
128.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
126.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
126.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
125.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
125.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
122.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
118.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
117.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
117.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
115.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
114.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
114.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
113.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
113.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
112.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
111.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
110.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
108.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
108.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
107.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
107.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
104.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
103.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
103.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
103.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
103.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
103.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
101.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
101.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
101.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
100.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
100.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
100.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
100.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
99.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
99.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
99.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
98.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
98.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
98.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
98.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
97.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
95.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
94.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
94.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
94.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
93.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
92.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
91.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
91.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
91.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
90.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
90.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
89.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
89.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
89.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
88.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
86.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
84.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
84.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
84.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
84.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
83.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
83.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
83.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
83.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
82.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
82.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
82.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
81.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
81.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
81.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
79.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
79.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
79.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
78.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
77.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
77.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
76.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
76.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
76.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
75.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
75.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
75.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
75.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
75.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
75.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
75.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
74.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
74.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
74.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
73.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
71.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
70.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
70.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
69.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
69.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
68.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
67.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
66.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
65.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
65.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
64.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
62.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
62.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
59.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
58.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
58.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
58.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
56.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
53.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
52.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
51.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
51.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
49.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
49.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
47.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
46.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
43.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
42.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
41.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
36.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
35.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
35.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
35.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
34.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
34.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
33.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
31.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
28.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
26.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
26.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
26.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
26.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
25.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
25.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
24.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
24.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
24.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
24.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
24.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
24.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
23.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
23.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
23.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
23.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
22.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
22.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
21.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
21.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
21.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
20.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
20.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
19.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
19.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
19.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
17.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
16.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
16.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
16.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
16.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
15.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
10.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
10.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
5.3
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.
SELENOM 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
59.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
263.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
189.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
168.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
153.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
131.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
124.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
118.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
107.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
98.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
97.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
95.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
94.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
94.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
91.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
89.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
88.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
85.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
84.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
81.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
79.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
77.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
74.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
64.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
63.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
60.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
59.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
54.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
51.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
51.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
44.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
43.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
43.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
42.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
42.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
39.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
28.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
28.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
24.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SELENOM 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
51.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
226.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
179.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
173.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
155.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
137.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
137.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
136.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
130.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
126.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
125.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
122.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
121.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
120.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
115.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
115.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
112.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
110.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
108.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
107.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
106.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
106.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
105.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
104.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
103.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
100.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
97.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
92.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
90.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
90.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
88.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
87.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
87.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
85.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
80.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
78.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
75.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
74.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
73.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
69.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
65.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
65.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
60.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
56.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
55.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
54.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
32.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
31.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
30.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
29.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
28.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
27.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
27.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
26.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
26.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
24.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
24.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
22.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
21.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
21.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
20.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
20.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
20.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
19.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
19.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
17.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
17.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
16.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
16.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
13.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
10.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
8.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
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
