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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.
YTHDF3 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
20.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
79.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
54.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
36.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
27.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
26.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
26.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
24.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
23.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
22.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
21.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
21.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
21.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
21.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
19.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
19.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
19.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
18.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
18.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
17.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
17.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
17.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
17.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
15.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
15.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
15.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
14.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
14.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
14.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
14.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
14.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
13.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
13.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
YTHDF3 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
56.9
Number of samples
486
Samples
Sample
Description
TPM
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
124.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
122.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
111.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
111.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
106.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
105.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
102.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
100.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
98.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
98.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
97.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
95.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
93.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
92.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
89.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
89.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
88.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
87.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
86.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
84.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
84.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
84.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
83.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
83.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
81.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
81.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
81.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
78.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
78.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
77.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
74.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
73.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
73.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
73.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
72.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
72.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
72.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
70.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
70.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
70.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
69.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
69.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
69.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
68.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
67.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
67.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
67.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
67.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
66.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
65.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
65.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
65.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
64.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
63.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
63.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
63.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
62.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
61.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
61.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
61.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
61.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
60.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
60.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
60.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
59.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
59.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
59.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
59.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
59.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
59.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
58.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
58.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
58.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
57.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
56.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
56.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
56.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
55.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
54.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
54.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
54.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
53.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
53.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
52.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
51.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
51.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
51.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
51.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
50.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
49.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
48.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
46.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
45.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
42.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
40.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
35.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YTHDF3 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
21.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
31.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
30.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
24.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
22.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
19.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
19.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
15.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
15.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YTHDF3 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
57.0
Number of samples
207
Samples
Sample
Description
TPM
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
130.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
108.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
107.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
98.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
91.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
91.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
90.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
86.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
86.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
84.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
78.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
76.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
75.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
74.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
74.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
73.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
72.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
70.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
70.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
69.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
67.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
67.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
67.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
65.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
65.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
64.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
64.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
63.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
63.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
63.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
63.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
62.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
62.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
62.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
61.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
55.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
54.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
54.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
54.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
53.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
52.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
52.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
51.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
49.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
47.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
