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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.
TACC2 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
33.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
76.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
75.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
73.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
70.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
59.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
54.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
52.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
51.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
50.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
49.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
49.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
48.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
47.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
46.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
46.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
45.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
44.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
44.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
43.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
43.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
43.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
42.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
42.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
41.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
41.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
40.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
38.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
38.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
37.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
37.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
37.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
37.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
36.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
36.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
35.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
35.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
34.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
34.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
34.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
33.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
33.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
33.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
31.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
30.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
30.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
29.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
29.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
29.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
28.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
28.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
27.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
26.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
26.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
26.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
25.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
24.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
22.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
20.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
20.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
20.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
19.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
17.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
15.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
7.1
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.
TACC2 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
38.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
97.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
74.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
69.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
63.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
55.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
54.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
53.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
53.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
52.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
51.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
50.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
49.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
48.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
46.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
46.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
46.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
40.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
39.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
39.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
39.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
39.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
37.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
34.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
33.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
31.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
31.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
31.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
30.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
29.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
29.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
29.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
29.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
29.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
29.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
29.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
28.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
28.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
28.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
28.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
28.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
27.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
27.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
27.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
27.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
27.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
26.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
26.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
26.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
25.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
25.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
24.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
24.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
24.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
23.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
23.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
23.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
23.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
23.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
23.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
23.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
22.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
22.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
22.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
22.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
21.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
21.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
21.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
20.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
20.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
20.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
20.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
19.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
19.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
19.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
19.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
18.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
17.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TACC2 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
32.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
63.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
55.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
53.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
47.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
46.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
45.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
39.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
38.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
35.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
33.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
33.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
31.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
29.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
28.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
26.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
24.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
24.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
23.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
22.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
21.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
14.0
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.
TACC2 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
38.9
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
95.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
85.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
74.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
70.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
57.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
53.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
44.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
42.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
38.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
38.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
35.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
34.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
31.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
29.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
27.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
26.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
26.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
25.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
25.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
24.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
22.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
22.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
22.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
20.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
20.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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.