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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.
MPC2 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
47.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
122.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
105.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
102.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
99.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
97.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
92.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
88.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
87.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
85.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
83.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
79.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
75.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
73.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
73.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
71.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
70.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
68.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
68.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
68.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
67.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
67.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
66.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
65.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
64.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
64.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
63.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
63.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
62.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
62.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
61.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
61.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
60.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
60.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
60.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
58.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
58.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
58.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
58.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
57.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
57.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
56.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
56.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
55.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
55.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
55.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
53.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
53.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
53.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
53.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
52.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
52.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
51.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
51.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
51.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
51.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
50.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
50.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
49.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
49.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
49.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
48.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
47.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
47.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
47.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
47.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
47.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
46.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
46.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
46.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
45.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
45.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
44.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
44.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
43.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
42.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
42.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
41.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
41.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
40.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
39.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
39.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
38.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
37.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
36.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
35.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
34.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
33.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
31.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
31.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
21.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 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.
MPC2 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
40.8
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
107.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
105.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
88.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
88.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
80.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
77.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
75.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
72.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
71.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
66.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
65.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
61.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
60.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
57.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
56.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
56.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
56.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
55.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
55.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
54.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
51.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
51.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
50.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
50.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
49.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
49.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
48.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
47.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
44.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
43.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
42.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
42.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
42.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
41.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
39.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
39.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
39.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
38.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
37.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
37.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
37.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
37.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
37.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
36.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
35.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
35.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
34.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
34.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
33.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
32.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
31.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
31.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
31.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
30.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
29.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
28.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
28.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
28.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
27.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
27.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
27.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
27.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
26.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
26.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
26.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
25.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
25.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
25.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
24.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
24.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
23.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
23.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
23.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
22.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
22.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
22.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
22.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
21.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
21.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
21.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
20.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
19.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
19.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
18.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
17.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
15.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
14.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
13.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.2
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.
MPC2 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
46.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
97.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
91.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
82.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
80.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
70.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
66.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
63.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
63.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
63.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
63.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
60.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
59.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
58.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
57.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
56.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
54.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
51.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
48.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
47.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
47.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
46.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
43.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
42.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
42.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
37.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
34.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
33.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
31.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
19.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
19.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
MPC2 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
37.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
62.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
61.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
57.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
53.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
52.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
42.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
41.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
35.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
34.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
27.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
27.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
25.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
25.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
25.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
24.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
24.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
24.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
24.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
23.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
21.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
20.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
19.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
18.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
17.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
