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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.
MET 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
32.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
141.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
125.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
119.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
99.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
93.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
92.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
87.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
86.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
84.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
82.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
77.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
73.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
72.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
67.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
63.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
61.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
61.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
61.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
60.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
57.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
53.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
50.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
50.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
44.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
43.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
41.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
40.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
39.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
37.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
36.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
35.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
34.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
32.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
31.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
30.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
30.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
28.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
27.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
26.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
25.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
24.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
24.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
24.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
23.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
22.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
21.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
20.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
19.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
18.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
18.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
15.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
14.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
14.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 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.
MET 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
92.6
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
504.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
360.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
288.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
273.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
267.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
260.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
252.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
251.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
227.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
227.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
225.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
220.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
209.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
206.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
204.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
199.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
198.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
193.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
185.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
182.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
181.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
180.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
179.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
177.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
177.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
175.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
171.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
171.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
168.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
167.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
165.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
165.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
164.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
164.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
161.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
160.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
158.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
157.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
157.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
156.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
152.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
152.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
151.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
151.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
149.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
148.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
148.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
148.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
147.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
147.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
146.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
146.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
145.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
145.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
144.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
144.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
144.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
144.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
144.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
143.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
142.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
142.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
140.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
139.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
139.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
139.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
138.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
137.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
136.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
136.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
136.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
133.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
133.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
133.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
133.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
132.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
132.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
131.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
131.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
131.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
130.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
130.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
130.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
128.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
127.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
127.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
127.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
126.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
126.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
125.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
124.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
124.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
124.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
123.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
122.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
122.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
120.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
120.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
120.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
120.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
119.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
118.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
118.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
118.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
118.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
117.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
117.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
117.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
117.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
116.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
115.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
115.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
114.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
114.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
113.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
113.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
112.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
112.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
112.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
112.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
112.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
111.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
111.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
111.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
111.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
110.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
110.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
110.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
109.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
109.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
109.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
109.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
109.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
108.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
107.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
107.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
106.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
106.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
106.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
106.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
105.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
105.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
105.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
104.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
104.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
103.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
103.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
103.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
103.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
103.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
103.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
103.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
102.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
102.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
102.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
102.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
102.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
102.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
102.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
101.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
101.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
101.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
101.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
100.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
100.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
100.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
100.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
99.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
99.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
99.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
99.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
99.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
99.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
98.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
98.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
98.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
97.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
97.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
97.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
96.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
95.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
95.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
95.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
95.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
95.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
95.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
94.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
94.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
93.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
93.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
92.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
92.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
92.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
92.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
91.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
91.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
91.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
90.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
89.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
89.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
88.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
88.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
88.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
88.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
88.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
88.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
88.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
88.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
88.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
87.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
86.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
86.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
86.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
85.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
85.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
85.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
84.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
84.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
84.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
84.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
83.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
83.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
83.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
83.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
83.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
82.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
82.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
81.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
81.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
81.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
80.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
80.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
79.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
79.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
79.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
78.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
78.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
78.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
77.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
77.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
77.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
77.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
77.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
76.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
75.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
75.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
75.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
75.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
75.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
75.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
74.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
74.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
74.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
74.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
72.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
72.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
72.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
71.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
71.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
71.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
70.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
69.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
69.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
69.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
68.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
67.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
66.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
66.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
66.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
64.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
64.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
63.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
60.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
58.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
57.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
57.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
50.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
50.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
45.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
44.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
31.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
26.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
24.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
20.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
19.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
17.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
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.
MET 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
31.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
157.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
65.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
61.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
54.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
44.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
38.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
34.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
34.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
22.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
20.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
20.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
16.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.6
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.
MET is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
82.0
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
296.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
201.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
189.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
176.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
176.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
172.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
170.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
169.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
163.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
160.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
158.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
157.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
157.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
152.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
147.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
143.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
136.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
135.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
134.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
133.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
130.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
129.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
129.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
128.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
125.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
124.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
123.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
122.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
122.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
119.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
119.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
118.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
118.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
118.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
117.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
114.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
113.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
112.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
111.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
111.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
111.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
109.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
108.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
107.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
107.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
106.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
104.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
101.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
99.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
98.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
98.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
98.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
97.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
96.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
96.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
95.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
95.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
93.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
93.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
93.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
92.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
92.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
92.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
91.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
91.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
91.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
91.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
90.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
90.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
90.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
90.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
89.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
88.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
87.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
87.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
87.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
86.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
85.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
85.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
85.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
84.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
83.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
82.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
78.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
78.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
77.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
77.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
75.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
71.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
71.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
71.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
71.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
69.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
69.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
67.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
67.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
67.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
66.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
63.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
62.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
57.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
55.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
38.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
29.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
15.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.7
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
