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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.
ABHD2 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
39.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
140.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
115.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
111.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
109.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
108.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
101.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
97.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
96.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
96.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
94.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
89.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
88.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
87.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
86.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
85.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
81.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
79.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
77.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
76.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
73.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
73.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
72.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
71.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
69.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
68.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
66.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
65.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
64.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
64.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
63.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
61.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
61.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
60.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
57.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
57.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
56.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
54.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
54.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
54.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
51.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
50.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
48.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
48.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
43.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
42.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
42.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
42.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
40.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
40.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
38.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
38.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
38.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
37.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
36.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
35.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
32.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
32.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
31.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
30.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
30.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
26.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
25.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
24.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
24.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
24.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
23.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
21.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
21.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
20.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
18.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
18.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
17.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
16.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
11.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
9.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ABHD2 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
93.2
Number of samples
486
Samples
Sample
Description
TPM
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
445.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
309.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
307.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
304.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
277.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
262.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
258.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
256.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
250.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
248.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
239.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
232.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
231.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
217.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
216.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
212.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
209.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
208.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
204.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
202.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
200.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
198.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
198.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
195.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
194.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
194.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
191.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
189.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
187.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
186.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
183.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
181.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
179.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
177.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
175.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
173.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
173.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
171.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
166.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
166.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
164.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
164.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
164.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
163.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
162.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
162.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
160.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
160.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
160.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
158.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
157.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
157.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
153.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
153.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
151.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
150.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
150.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
149.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
148.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
148.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
146.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
145.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
144.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
143.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
142.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
142.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
141.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
141.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
141.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
140.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
140.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
140.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
139.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
139.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
139.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
138.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
136.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
135.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
135.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
133.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
132.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
132.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
132.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
131.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
131.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
131.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
131.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
129.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
128.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
128.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
127.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
127.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
126.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
126.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
126.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
126.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
125.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
125.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
125.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
125.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
124.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
124.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
123.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
122.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
122.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
122.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
122.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
122.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
121.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
121.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
121.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
121.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
120.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
119.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
119.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
118.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
116.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
116.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
116.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
116.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
116.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
115.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
115.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
115.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
114.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
114.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
113.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
113.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
112.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
111.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
110.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
110.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
110.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
109.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
109.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
109.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
109.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
109.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
108.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
108.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
108.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
107.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
106.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
105.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
105.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
105.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
104.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
104.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
103.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
103.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
103.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
102.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
102.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
102.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
102.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
102.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
101.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
101.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
101.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
101.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
100.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
100.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
99.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
98.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
98.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
98.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
98.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
97.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
97.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
96.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
96.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
96.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
95.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
95.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
94.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
94.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
93.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
93.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
92.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
92.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
92.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
91.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
91.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
90.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
90.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
90.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
90.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
89.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
89.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
89.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
88.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
88.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
88.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
88.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
88.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
87.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
87.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
87.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
86.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
86.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
86.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
86.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
86.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
85.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
85.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
84.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
84.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
84.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
83.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
83.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
83.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
83.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
83.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
82.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
81.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
81.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
81.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
80.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
80.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
80.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
79.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
79.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
79.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
79.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
79.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
78.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
77.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
77.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
77.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
76.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
76.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
76.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
76.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
75.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
75.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
75.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
74.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
74.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
74.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
73.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
72.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
72.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
72.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
72.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
72.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
72.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
71.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
71.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
70.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
70.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
69.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
69.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
69.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
68.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
67.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
66.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
66.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
66.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
65.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
65.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
63.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
62.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
62.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
61.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
60.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
59.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
58.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
58.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
58.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
57.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
55.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
54.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
54.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
52.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
52.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
50.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
49.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
47.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
38.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
33.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ABHD2 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
50.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1023.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
118.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
116.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
114.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
113.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
84.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
84.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
81.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
81.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
78.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
77.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
72.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
71.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
65.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
39.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
28.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
19.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.2
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.
ABHD2 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
76.5
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
294.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
274.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
239.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
239.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
192.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
186.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
181.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
180.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
174.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
169.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
161.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
155.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
151.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
144.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
137.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
136.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
134.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
133.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
133.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
131.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
129.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
123.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
122.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
120.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
120.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
120.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
119.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
118.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
117.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
116.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
116.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
116.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
116.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
115.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
114.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
113.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
112.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
111.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
108.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
108.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
107.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
107.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
107.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
106.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
105.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
103.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
100.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
99.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
98.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
96.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
94.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
90.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
88.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
88.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
87.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
86.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
85.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
83.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
83.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
82.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
81.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
80.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
79.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
79.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
79.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
78.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
78.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
76.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
76.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
76.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
76.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
76.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
73.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
70.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
69.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
69.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
69.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
67.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
67.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
64.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
63.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
63.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
62.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
60.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
56.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
