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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.
PLXND1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
148.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
58.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
40.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
40.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
40.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
31.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
28.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
26.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
22.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
22.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
21.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
21.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
21.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
20.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
20.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
19.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
19.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
19.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
18.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
18.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
17.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
17.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
13.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
13.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
12.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
11.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
10.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
9.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
9.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
9.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
7.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
6.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
5.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
4.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
PLXND1 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
34.6
Number of samples
486
Samples
Sample
Description
TPM
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
129.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
97.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
95.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
94.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
92.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
92.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
90.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
90.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
89.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
85.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
83.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
82.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
76.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
74.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
68.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
68.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
67.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
61.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
61.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
60.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
57.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
54.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
54.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
54.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
53.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
50.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
41.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
40.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
35.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
35.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
34.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
34.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
34.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
33.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
33.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
33.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
33.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
32.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
32.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
31.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
31.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
29.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
29.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
29.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
29.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
29.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
28.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
28.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
28.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
28.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
28.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
27.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
27.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
27.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
27.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
26.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
26.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
26.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
26.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
26.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
26.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
26.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
26.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
26.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
25.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
25.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
25.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
25.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
25.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
24.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
24.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
24.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
24.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
24.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
24.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
24.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
24.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
24.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
24.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
23.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
23.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
23.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
23.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
22.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
22.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
22.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
22.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
22.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
22.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
22.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
22.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
22.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
22.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
22.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
22.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
21.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
21.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
21.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
21.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
21.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
21.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
21.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
21.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
21.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
21.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
21.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
21.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
20.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
20.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
20.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
20.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
20.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
20.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
20.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
20.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
20.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
19.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
19.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
19.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
19.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
19.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
19.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
18.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
18.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
18.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
18.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
18.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
18.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
18.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
18.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
18.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
18.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
18.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
17.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
17.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
17.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
17.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
17.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
17.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
17.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
17.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
17.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
16.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
16.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
16.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
16.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
16.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
16.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
16.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
16.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
15.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
15.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
15.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
15.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
15.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
15.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
15.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
15.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
15.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
15.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
15.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
15.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
15.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
14.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
14.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
14.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
14.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
14.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
14.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
14.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
14.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
13.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
13.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
13.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
13.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
13.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
13.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
13.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
12.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
12.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
12.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
12.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
11.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
10.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
10.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
10.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
9.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
7.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
PLXND1 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
16.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
156.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
66.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
51.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
36.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
19.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
10.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
10.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
9.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
7.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
6.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
4.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
3.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
PLXND1 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
30.2
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
90.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
80.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
73.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
68.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
61.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
51.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
50.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
49.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
35.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
34.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
33.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
32.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
32.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
31.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
30.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
28.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
28.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
27.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
27.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
27.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
27.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
26.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
26.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
25.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
25.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
25.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
24.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
24.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
24.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
24.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
24.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
23.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
22.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
22.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
21.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
21.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
21.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
21.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
20.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
20.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
20.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
20.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
19.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
19.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
19.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
19.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
18.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
18.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
17.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
17.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
16.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
16.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
16.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
16.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
16.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
16.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
16.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
15.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
15.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
15.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
15.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
15.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
14.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
14.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
13.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
13.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
13.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
13.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
12.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
12.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
11.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
11.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
10.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
9.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
9.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
9.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
8.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
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Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
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Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
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Tumor
0.0
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Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
