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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.
ACSS2 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-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
128.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
128.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
101.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
91.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
85.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
84.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
83.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
82.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
81.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
76.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
74.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
74.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
71.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
71.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
70.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
70.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
69.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
69.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
69.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
68.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
67.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
62.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
61.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
61.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
60.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
60.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
59.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
58.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
58.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
57.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
56.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
55.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
54.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
54.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
50.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
50.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
48.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
48.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
48.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
46.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
43.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
41.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
41.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
39.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
38.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
35.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
34.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
33.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
27.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
25.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
24.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
23.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
21.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
20.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
16.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
15.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
14.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
ACSS2 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
55.5
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
193.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
152.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
142.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
142.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
136.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
128.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
127.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
124.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
123.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
114.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
112.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
108.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
108.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
104.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
104.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
104.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
102.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
101.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
100.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
100.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
99.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
98.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
97.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
97.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
96.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
96.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
96.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
93.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
93.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
93.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
92.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
92.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
90.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
89.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
89.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
88.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
88.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
88.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
87.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
87.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
87.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
86.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
86.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
85.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
84.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
84.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
84.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
83.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
82.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
82.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
81.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
81.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
81.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
80.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
80.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
78.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
78.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
78.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
77.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
76.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
76.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
76.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
75.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
75.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
75.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
75.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
75.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
73.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
73.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
72.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
72.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
72.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
71.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
71.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
71.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
70.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
70.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
69.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
69.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
68.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
68.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
68.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
68.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
67.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
67.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
66.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
65.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
65.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
64.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
62.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
61.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
60.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
60.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
59.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
59.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
58.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
56.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
53.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
52.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
50.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
49.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
46.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
45.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
44.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
41.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
39.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
36.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
36.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
36.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
34.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
32.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
32.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
31.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
30.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
29.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
27.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
26.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
26.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
25.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
24.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
24.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
23.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
23.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
22.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
22.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
22.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
21.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
20.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
19.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
19.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
19.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
18.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
16.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
15.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
14.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
13.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
8.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
6.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
ACSS2 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
37.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
116.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
98.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
92.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
71.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
63.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
63.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
61.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
60.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
57.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
54.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
51.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
48.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
47.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
43.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
42.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
41.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
41.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
41.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
37.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
34.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
33.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
33.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
19.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.2
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.
ACSS2 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
48.3
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
136.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
111.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
102.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
96.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
91.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
90.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
86.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
80.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
79.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
78.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
77.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
76.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
73.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
72.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
71.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
70.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
70.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
70.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
67.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
67.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
65.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
65.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
65.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
63.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
62.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
57.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
57.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
56.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
56.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
55.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
55.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
55.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
53.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
53.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
50.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
45.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
33.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
32.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
30.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
30.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
29.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
29.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
23.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
21.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
17.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.1
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.