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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.
TLN1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
191.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
124.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
114.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
93.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
93.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
92.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
86.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
81.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
80.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
78.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
77.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
76.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
75.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
74.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
73.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
72.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
70.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
69.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
69.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
69.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
68.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
67.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
67.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
65.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
64.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
62.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
62.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
62.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
61.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
60.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
60.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
60.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
60.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
58.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
57.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
56.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
54.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
54.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
49.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
48.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
48.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
48.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
46.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
45.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
44.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
43.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
42.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
39.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
38.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
36.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
35.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
34.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
33.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
33.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
33.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
33.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
32.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
30.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
28.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
27.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
27.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
20.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
18.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
17.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
TLN1 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
78.9
Number of samples
486
Samples
Sample
Description
TPM
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
191.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
171.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
165.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
163.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
156.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
152.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
146.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
146.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
145.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
137.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
136.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
135.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
133.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
133.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
133.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
132.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
131.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
131.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
130.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
126.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
126.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
125.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
124.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
122.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
120.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
120.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
120.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
119.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
119.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
117.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
116.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
116.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
115.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
115.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
114.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
114.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
112.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
112.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
111.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
111.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
111.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
110.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
110.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
110.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
109.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
109.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
109.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
109.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
108.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
108.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
108.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
108.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
108.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
107.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
107.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
107.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
107.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
107.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
106.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
106.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
106.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
106.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
104.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
104.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
104.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
104.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
104.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
103.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
103.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
102.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
102.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
101.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
101.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
100.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
100.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
100.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
100.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
100.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
100.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
100.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
99.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
99.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
99.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
99.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
99.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
98.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
98.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
98.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
98.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
98.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
97.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
97.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
97.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
97.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
97.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
96.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
96.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
96.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
96.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
96.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
95.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
95.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
95.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
95.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
95.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
94.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
94.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
94.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
93.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
93.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
93.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
92.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
91.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
91.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
91.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
91.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
91.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
91.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
90.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
90.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
90.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
89.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
89.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
89.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
89.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
89.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
88.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
88.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
88.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
88.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
88.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
88.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
87.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
86.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
86.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
86.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
86.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
86.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
86.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
86.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
86.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
85.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
85.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
85.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
85.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
85.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
84.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
84.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
84.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
84.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
84.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
84.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
84.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
84.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
84.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
84.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
84.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
83.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
83.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
83.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
82.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
82.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
82.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
82.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
82.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
82.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
82.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
82.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
81.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
81.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
81.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
81.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
81.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
81.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
81.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
80.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
80.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
80.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
79.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
79.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
79.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
79.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
78.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
78.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
78.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
78.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
78.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
77.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
77.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
77.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
77.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
77.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
77.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
77.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
77.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
76.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
75.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
75.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
75.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
75.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
75.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
75.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
74.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
74.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
74.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
73.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
73.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
73.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
73.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
73.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
72.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
72.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
72.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
72.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
72.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
72.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
72.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
72.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
71.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
71.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
71.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
71.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
71.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
71.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
70.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
70.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
70.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
69.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
69.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
69.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
69.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
68.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
67.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
67.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
67.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
67.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
66.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
66.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
65.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
65.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
65.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
65.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
64.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
63.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
63.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
62.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
62.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
61.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
61.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
60.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
60.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
59.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
58.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
56.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
55.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
55.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
52.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
51.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
51.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
51.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
51.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
50.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
49.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
47.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
46.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
43.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
TLN1 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
41.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
136.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
112.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
80.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
71.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
70.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
68.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
67.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
65.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
65.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
64.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
62.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
61.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
60.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
59.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
57.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
56.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
52.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
48.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
45.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
45.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
43.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
43.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
43.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
42.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
39.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
36.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
30.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
30.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
26.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TLN1 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
72.5
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
180.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
150.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
145.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
142.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
140.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
139.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
135.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
135.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
134.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
130.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
130.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
122.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
122.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
120.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
119.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
118.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
117.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
116.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
113.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
108.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
107.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
107.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
105.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
102.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
101.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
101.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
101.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
100.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
99.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
98.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
98.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
97.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
96.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
96.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
95.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
95.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
93.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
93.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
93.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
91.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
90.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
89.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
89.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
87.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
87.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
87.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
86.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
85.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
83.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
82.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
82.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
81.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
81.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
80.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
80.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
80.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
79.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
79.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
78.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
78.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
77.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
77.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
77.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
77.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
76.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
75.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
75.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
74.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
74.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
74.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
73.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
73.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
73.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
72.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
72.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
71.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
70.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
69.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
68.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
67.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
67.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
64.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
63.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
63.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
62.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
61.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
61.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
60.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
60.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
59.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
58.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
58.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
58.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
57.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
56.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
56.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
53.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
53.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
52.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.8
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.1
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
