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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.
LSM14B 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
39.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
96.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
96.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
95.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
94.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
92.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
82.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
80.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
80.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
77.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
73.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
71.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
70.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
67.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
66.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
65.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
65.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
64.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
63.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
62.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
62.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
62.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
59.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
59.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
59.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
58.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
58.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
56.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
56.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
55.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
54.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
54.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
53.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
52.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
51.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
51.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
50.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
49.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
48.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
48.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
47.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
45.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
45.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
43.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
41.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
39.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
39.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
36.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
36.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
35.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
35.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
35.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
34.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
34.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
33.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
33.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
33.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
33.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
32.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
31.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
30.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
30.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
29.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
29.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
26.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
26.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
26.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
24.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
22.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
18.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
15.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
LSM14B 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
45.9
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
144.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
118.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
107.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
99.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
94.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
94.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
88.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
87.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
87.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
85.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
83.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
80.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
80.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
79.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
78.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
77.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
77.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
74.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
72.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
72.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
72.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
71.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
71.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
71.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
70.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
70.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
67.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
66.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
66.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
66.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
66.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
66.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
65.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
65.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
63.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
61.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
60.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
60.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
58.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
58.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
55.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
53.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
52.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
51.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
50.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
48.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
47.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
46.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
45.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
45.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
45.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
42.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
42.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
41.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
39.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
38.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
38.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
37.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
36.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
36.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
34.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
34.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
33.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
33.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
33.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
32.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
31.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
31.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
30.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
30.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
28.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
27.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
26.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
26.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
26.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
26.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
25.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
25.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
25.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
22.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
21.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
20.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
20.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
19.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.5
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.
LSM14B 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
43.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
101.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
73.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
68.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
65.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
64.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
62.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
59.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
58.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
55.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
55.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
52.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
52.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
52.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
51.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
50.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
49.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
48.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
46.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
43.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
40.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
39.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
32.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
32.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
30.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.7
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.
LSM14B 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
48.2
Number of samples
207
Samples
Sample
Description
TPM
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
101.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
100.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
99.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
87.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
84.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
83.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
79.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
78.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
78.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
76.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
75.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
71.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
71.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
70.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
68.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
67.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
67.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
67.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
67.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
65.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
65.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
64.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
63.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
61.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
61.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
60.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
59.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
58.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
46.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
41.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
35.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
34.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
34.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
33.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
28.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
27.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.8
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.5
b2400046-1d25-429d-a821-6040a6
Tumor
-1.6
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
