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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.
NXF1 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
30.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
50.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
43.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
41.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
40.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
39.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
39.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
39.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
37.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
37.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
36.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
36.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
35.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
35.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
35.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
34.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
34.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
33.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
33.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
33.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
33.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
33.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
32.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
31.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
30.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
30.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
30.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
29.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
29.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
29.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
28.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
27.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
27.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
27.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
27.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
27.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
27.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
27.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
26.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
25.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
25.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
24.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
24.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
22.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
22.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
21.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
21.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
20.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
19.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
16.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
NXF1 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
40.5
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
59.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
53.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
46.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
46.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
44.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
43.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
43.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
43.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
42.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
41.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
41.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
41.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
40.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
39.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
39.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
39.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
39.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
39.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
38.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
38.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
38.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
37.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
36.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
36.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
34.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
34.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
34.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
31.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
31.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
30.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
30.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
30.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
29.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
28.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
28.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
26.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
25.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NXF1 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
29.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
37.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
35.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
35.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
34.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
33.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
32.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
30.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
28.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
18.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
17.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
NXF1 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
41.3
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
51.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
41.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
39.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
33.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.5
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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
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
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Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
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Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
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Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
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Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
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Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
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COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.