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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.
PLCB3 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
34.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
126.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
125.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
105.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
85.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
81.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
78.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
70.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
65.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
63.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
63.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
62.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
61.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
58.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
56.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
55.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
50.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
49.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
49.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
46.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
45.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
45.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
43.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
43.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
41.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
40.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
40.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
40.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
39.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
37.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
36.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
35.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
33.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
32.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
31.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
31.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
30.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
29.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
28.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
27.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
26.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
26.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
25.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
25.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
24.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
22.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
19.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
17.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
14.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
14.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
10.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
PLCB3 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
48.3
Number of samples
486
Samples
Sample
Description
TPM
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
141.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
129.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
124.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
117.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
111.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
102.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
99.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
98.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
97.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
96.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
96.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
94.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
94.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
92.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
92.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
89.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
88.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
88.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
87.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
87.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
86.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
85.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
85.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
84.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
84.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
83.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
81.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
80.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
79.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
76.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
73.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
73.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
72.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
71.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
71.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
69.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
66.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
65.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
62.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
61.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
60.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
60.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
59.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
58.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
58.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
58.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
58.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
56.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
55.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
54.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
54.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
53.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
52.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
52.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
52.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
50.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
49.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
48.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
44.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
42.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
39.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
38.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
36.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
36.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
36.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
34.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
32.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
31.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
29.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
28.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
28.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
28.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
26.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
26.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
25.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
24.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
23.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
23.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
20.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
20.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
20.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
19.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
16.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
PLCB3 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
28.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
63.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
60.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
57.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
51.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
41.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
41.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
32.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
31.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
29.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
28.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
21.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
20.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
19.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
19.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
19.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
17.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
17.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLCB3 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
42.3
Number of samples
207
Samples
Sample
Description
TPM
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
117.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
92.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
92.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
77.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
76.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
76.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
74.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
70.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
68.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
65.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
64.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
63.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
61.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
58.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
52.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
46.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
46.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
44.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
36.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
35.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
28.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
24.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
23.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
22.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
21.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
19.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
17.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
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Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
