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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.
METTL7A 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
16.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
96.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
62.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
48.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
45.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
36.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
35.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
31.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
31.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
29.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
28.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
28.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
23.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
21.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
20.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
20.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
20.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
19.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
19.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
19.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
17.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
17.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
16.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
15.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
13.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
12.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
12.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
12.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
11.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
11.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
9.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
9.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
8.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
6.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
6.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
6.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
6.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
4.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
METTL7A 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
27.4
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
118.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
107.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
81.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
68.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
67.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
67.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
59.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
56.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
47.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
45.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
45.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
44.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
36.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
35.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
34.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
34.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
32.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
31.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
31.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
31.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
29.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
29.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
29.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
29.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
28.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
28.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
27.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
27.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
27.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
27.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
27.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
26.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
26.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
26.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
26.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
26.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
26.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
26.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
26.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
25.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
25.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
25.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
25.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
25.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
24.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
24.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
24.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
24.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
24.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
24.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
24.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
24.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
24.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
24.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
24.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
23.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
23.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
23.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
23.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
23.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
23.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
22.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
22.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
22.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
22.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
22.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
22.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
21.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
21.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
21.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
21.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
21.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
21.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
21.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
21.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
20.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
20.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
20.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
20.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
20.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
20.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
20.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
20.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
20.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
20.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
20.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
20.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
20.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
20.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
20.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
19.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
19.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
19.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
19.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
19.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
19.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
19.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
19.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
19.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
19.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
19.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
19.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
18.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
18.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
18.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
18.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
18.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
18.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
18.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
18.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
18.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
18.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
18.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
18.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
18.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
18.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
18.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
18.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
18.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
17.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
17.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
17.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
17.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
17.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
17.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
17.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
17.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
17.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
17.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
16.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
16.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
16.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
16.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
16.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
16.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
16.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
16.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
16.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
16.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
16.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
16.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
16.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
15.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
15.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
15.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
15.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
15.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
15.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
15.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
15.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
14.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
14.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
14.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
14.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
14.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
14.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
14.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
14.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
14.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
14.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
14.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
13.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
13.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
13.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
13.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
13.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
13.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
12.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
12.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
12.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
12.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
12.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
12.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
11.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
11.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
11.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
11.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
11.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
11.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
11.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
11.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
10.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
10.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
10.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
10.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
10.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
10.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
10.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
10.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
10.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
10.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
10.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
9.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
9.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
9.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
9.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
9.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
9.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
9.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
9.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
9.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
9.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
9.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
8.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
8.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
8.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
8.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
8.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
7.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
7.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
7.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
7.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
7.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
7.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
6.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
6.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
5.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
5.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
5.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
5.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
5.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
5.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
5.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
5.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
4.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
4.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
4.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
4.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
4.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
3.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
3.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
3.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
METTL7A 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
15.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
51.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
40.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
23.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
21.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
20.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
14.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
12.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
12.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
10.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
9.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
9.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
8.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
8.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
6.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
4.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
4.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
4.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 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.
METTL7A 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
29.4
Number of samples
207
Samples
Sample
Description
TPM
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
76.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
64.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
60.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
60.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
57.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
51.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
48.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
45.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
36.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
30.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
29.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
29.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
29.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
29.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
28.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
26.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
26.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
25.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
24.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
24.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
24.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
24.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
23.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
23.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
23.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
22.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
22.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
22.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
21.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
21.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
21.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
21.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
20.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
20.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
19.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
19.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
19.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
19.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
18.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
18.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
18.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
18.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
17.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
17.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
17.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
17.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
17.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
17.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
16.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
16.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
16.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
15.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
15.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
15.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
14.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
14.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
14.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
13.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
13.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
13.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
13.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
12.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
12.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
11.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
11.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
11.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
11.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
10.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
10.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
10.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
10.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
10.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
10.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
9.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
8.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
8.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
8.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
8.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
7.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
7.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
6.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
5.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
5.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.3
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.
The Human Protein Atlas project is funded
