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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.
LSM12 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
33.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
57.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
56.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
52.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
52.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
52.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
50.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
50.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
48.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
47.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
46.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
46.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
45.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
45.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
43.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
43.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
42.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
40.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
38.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
38.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
38.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
37.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
37.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
37.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
36.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
36.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
36.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
35.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
34.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
33.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
33.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
33.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
33.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
33.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
31.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
31.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
31.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
30.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
30.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
30.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
29.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
29.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
28.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
28.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
28.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
27.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
26.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
24.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
23.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
21.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
21.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
20.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
20.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
20.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
19.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
17.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
LSM12 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
57.4
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
122.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
111.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
100.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
98.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
93.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
87.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
87.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
86.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
85.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
84.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
84.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
84.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
83.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
82.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
82.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
82.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
82.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
80.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
79.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
79.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
78.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
78.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
78.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
77.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
77.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
76.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
76.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
75.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
75.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
75.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
74.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
74.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
73.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
73.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
72.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
72.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
72.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
71.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
71.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
70.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
70.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
69.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
68.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
68.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
67.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
67.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
67.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
66.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
66.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
66.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
66.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
65.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
65.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
65.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
65.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
65.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
65.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
65.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
65.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
64.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
64.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
63.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
63.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
63.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
62.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
62.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
62.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
62.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
61.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
61.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
60.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
60.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
60.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
59.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
58.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
58.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
58.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
57.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
56.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
55.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
55.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
55.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
54.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
54.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
53.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
53.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
53.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
52.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
51.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
50.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
44.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
43.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
39.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
37.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
33.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.8
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.
LSM12 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
32.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
74.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
50.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
50.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
49.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
46.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
42.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
38.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
37.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
36.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
34.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
34.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
34.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
33.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
30.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
29.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
28.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
28.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
27.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.1
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.
LSM12 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
53.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
95.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
92.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
90.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
88.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
87.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
83.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
79.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
77.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
76.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
72.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
71.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
70.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
68.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
68.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
67.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
66.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
65.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
64.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
62.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
61.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
59.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
59.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
58.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
56.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
55.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
55.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
54.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
48.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
48.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
47.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
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Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
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Normal
0.3
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Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
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Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
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Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
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Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
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Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
