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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.
PLOD2 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
25.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
106.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
104.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
88.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
87.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
83.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
81.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
78.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
62.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
57.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
56.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
53.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
51.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
51.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
43.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
41.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
38.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
37.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
36.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
31.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
30.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
26.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
25.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
24.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
20.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
18.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
18.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
17.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
17.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
17.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
16.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
16.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
12.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
11.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
10.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
9.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
7.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
6.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 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.
PLOD2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.1
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
159.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
131.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
109.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
107.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
106.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
97.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
96.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
95.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
93.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
89.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
86.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
85.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
85.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
84.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
84.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
83.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
82.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
78.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
75.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
73.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
72.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
70.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
67.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
67.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
67.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
66.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
64.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
62.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
62.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
61.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
60.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
58.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
57.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
56.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
55.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
54.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
51.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
50.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
47.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
44.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
43.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
40.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
40.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
39.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
39.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
38.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
36.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
35.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
35.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
35.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
34.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
34.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
34.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
34.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
34.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
34.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
33.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
32.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
32.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
31.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
31.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
31.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
31.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
30.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
30.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
30.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
30.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
30.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
29.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
29.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
29.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
29.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
28.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
28.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
27.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
27.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
27.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
27.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
26.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
26.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
25.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
25.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
25.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
25.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
25.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
25.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
24.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
24.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
23.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
23.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
23.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
23.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
23.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
23.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
23.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
23.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
22.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
22.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
22.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
22.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
21.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
21.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
21.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
21.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
21.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
21.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
20.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
20.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
20.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
20.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
20.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
20.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
20.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
19.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
19.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
19.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
19.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
19.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
18.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
18.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
18.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
18.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
18.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
17.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
17.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
16.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
16.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
16.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
16.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
16.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
16.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
16.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
14.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
14.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
14.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
14.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
14.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
13.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
13.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
13.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
13.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
13.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
13.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
12.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
12.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
12.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
12.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
12.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
12.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
11.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
11.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
10.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
10.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
10.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
10.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
10.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
8.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
6.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
6.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
5.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
5.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
5.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
4.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
3.0
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.
PLOD2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
29.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
117.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
102.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
72.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
66.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
58.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
50.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
49.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
38.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
38.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
37.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
30.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
30.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
28.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
25.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
21.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
20.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
17.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
14.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
13.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLOD2 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
36.1
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
254.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
88.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
84.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
68.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
65.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
63.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
62.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
62.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
60.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
55.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
55.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
54.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
47.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
41.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
32.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
28.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
27.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
27.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
27.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
26.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
25.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
23.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
22.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
22.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
21.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
21.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
21.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
20.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
20.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
20.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
20.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
20.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
18.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
18.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
17.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
17.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
17.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
16.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
16.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
16.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
15.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
14.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
14.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
14.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
14.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
13.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
12.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
12.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
11.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
8.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
8.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
1.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.9
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
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Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.9
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.2
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.