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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.
LAMB2 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
17.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
134.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
90.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
63.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
60.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
48.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
46.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
42.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
34.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
31.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
30.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
29.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
26.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
21.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
21.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
19.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
19.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
19.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
18.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
17.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
16.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
16.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
16.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
15.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
14.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
14.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
13.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
13.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
13.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
12.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
12.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
11.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
11.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
8.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
8.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
8.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
4.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 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.
LAMB2 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
36.7
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
132.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
105.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
103.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
102.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
92.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
87.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
87.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
84.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
84.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
81.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
78.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
77.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
74.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
64.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
62.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
61.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
61.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
58.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
55.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
55.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
50.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
47.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
45.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
45.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
45.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
44.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
41.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
41.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
40.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
40.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
38.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
38.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
38.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
37.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
36.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
35.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
34.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
34.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
34.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
33.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
33.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
32.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
32.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
31.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
30.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
30.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
30.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
29.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
29.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
28.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
28.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
28.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
27.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
27.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
27.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
27.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
27.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
27.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
26.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
26.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
26.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
25.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
25.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
25.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
24.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
24.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
24.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
24.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
24.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
23.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
23.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
23.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
23.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
23.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
23.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
23.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
22.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
22.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
22.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
22.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
22.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
22.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
22.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
22.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
22.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
21.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
21.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
21.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
21.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
21.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
20.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
20.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
20.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
20.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
20.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
20.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
19.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
19.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
19.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
19.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
19.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
19.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
19.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
19.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
18.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
18.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
18.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
18.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
18.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
18.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
17.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
17.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
16.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
16.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
16.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
16.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
16.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
15.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
14.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
14.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
13.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
13.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
13.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
12.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
11.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
11.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
11.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
10.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
LAMB2 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
16.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
38.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
17.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
9.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
9.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
5.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMB2 is potential prognostic, high expression is favorable 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
38.2
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
153.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
106.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
104.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
104.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
102.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
92.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
87.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
83.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
83.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
79.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
79.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
78.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
75.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
71.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
70.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
66.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
65.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
65.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
60.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
56.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
50.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
50.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
31.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
30.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
30.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
29.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
29.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
28.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
28.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
28.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
27.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
27.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
26.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
24.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
24.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
24.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
22.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
22.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
21.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
20.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
20.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
20.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
20.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
19.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
19.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
19.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
18.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
18.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
18.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
17.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
16.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
16.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
16.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
15.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
14.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
13.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
12.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
12.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
11.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
1.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
1.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
1.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.8
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-2.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.1
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
