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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.
CNOT7 is potential prognostic, high expression is favorable 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
29.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
96.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
67.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
59.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
56.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
55.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
53.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
53.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
52.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
52.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
49.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
48.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
47.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
46.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
46.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
44.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
43.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
42.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
42.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
41.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
41.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
37.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
36.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
35.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
35.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
35.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
35.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
34.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
34.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
33.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
32.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
32.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
32.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
31.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
29.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
26.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
24.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
24.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
23.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
22.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
22.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
22.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
21.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
19.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
19.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
17.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
13.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CNOT7 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
87.1
Number of samples
486
Samples
Sample
Description
TPM
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
226.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
225.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
210.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
205.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
192.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
191.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
164.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
163.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
163.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
160.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
157.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
155.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
153.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
151.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
150.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
146.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
143.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
141.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
140.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
138.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
136.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
134.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
134.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
133.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
133.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
131.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
130.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
128.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
127.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
127.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
127.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
127.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
126.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
126.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
126.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
125.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
125.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
124.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
124.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
124.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
124.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
123.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
123.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
122.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
122.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
121.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
121.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
121.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
121.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
121.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
120.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
120.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
120.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
119.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
119.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
119.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
118.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
118.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
116.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
116.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
116.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
115.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
115.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
115.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
115.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
115.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
114.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
114.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
113.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
113.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
112.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
112.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
112.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
111.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
110.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
110.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
110.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
109.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
108.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
108.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
108.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
108.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
107.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
107.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
107.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
107.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
106.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
106.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
106.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
106.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
106.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
106.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
105.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
105.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
105.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
105.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
105.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
105.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
105.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
104.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
104.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
104.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
104.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
104.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
104.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
103.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
103.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
103.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
103.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
102.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
102.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
102.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
102.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
102.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
101.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
101.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
101.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
101.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
101.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
101.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
101.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
101.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
101.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
101.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
100.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
100.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
100.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
100.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
100.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
99.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
99.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
99.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
99.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
98.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
98.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
98.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
98.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
98.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
98.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
98.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
98.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
98.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
97.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
97.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
97.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
97.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
97.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
97.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
97.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
97.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
96.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
96.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
96.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
96.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
96.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
96.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
96.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
96.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
96.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
96.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
96.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
95.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
95.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
95.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
94.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
94.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
93.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
93.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
93.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
93.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
93.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
92.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
92.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
92.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
92.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
92.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
92.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
92.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
91.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
91.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
91.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
91.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
91.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
91.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
90.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
90.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
89.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
89.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
89.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
89.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
89.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
89.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
89.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
89.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
88.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
88.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
88.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
88.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
88.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
88.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
88.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
88.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
87.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
87.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
87.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
87.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
87.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
87.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
87.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
86.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
86.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
86.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
86.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
86.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
86.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
86.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
85.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
85.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
85.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
85.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
85.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
85.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
85.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
85.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
85.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
84.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
84.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
84.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
84.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
83.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
83.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
83.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
83.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
83.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
83.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
83.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
82.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
82.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
82.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
82.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
82.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
81.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
81.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
81.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
80.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
79.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
79.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
79.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
79.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
79.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
78.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
78.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
78.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
78.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
77.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
77.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
77.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
77.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
77.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
77.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
77.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
76.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
75.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
75.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
75.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
75.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
75.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
74.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
74.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
74.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
74.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
74.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
74.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
74.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
73.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
72.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
71.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
71.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
71.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
71.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
70.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
69.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
68.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
67.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
67.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
67.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
66.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
66.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
65.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
65.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
65.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
64.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
63.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
62.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
62.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
61.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
60.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
59.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
56.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
55.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
53.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
53.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
52.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
47.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
33.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.7
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.
CNOT7 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
29.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
63.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
60.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
54.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
50.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
49.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
49.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
44.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
42.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
40.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
40.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
33.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
32.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
29.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
27.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
25.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
24.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
21.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
18.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.2
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.
CNOT7 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
73.5
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
147.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
146.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
128.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
124.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
123.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
114.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
114.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
112.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
111.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
110.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
110.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
109.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
109.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
109.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
108.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
107.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
106.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
104.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
104.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
104.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
103.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
103.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
102.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
102.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
101.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
100.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
100.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
98.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
98.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
97.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
97.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
96.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
96.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
96.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
96.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
94.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
93.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
93.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
92.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
90.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
90.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
90.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
90.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
89.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
88.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
88.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
87.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
87.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
87.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
86.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
86.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
86.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
85.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
85.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
85.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
83.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
82.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
82.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
81.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
81.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
81.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
81.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
80.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
79.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
79.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
79.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
79.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
79.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
79.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
79.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
78.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
78.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
78.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
78.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
78.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
77.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
77.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
77.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
77.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
77.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
76.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
76.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
75.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
74.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
74.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
74.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
74.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
74.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
74.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
73.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
72.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
71.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
70.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
69.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
67.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
66.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
66.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
64.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
63.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
62.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
62.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
60.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
59.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
59.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
59.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
58.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
56.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
56.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
56.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
50.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2b810478-7956-4a8b-870d-184859_D2
Tumor
1.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.9
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.9
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
