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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.
MGAT5 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
30.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
156.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
95.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
88.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
74.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
72.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
70.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
69.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
68.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
68.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
65.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
61.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
59.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
59.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
57.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
55.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
51.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
51.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
50.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
47.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
45.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
43.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
43.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
37.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
37.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
37.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
35.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
34.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
31.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
31.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
30.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
30.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
29.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
27.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
25.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
24.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
23.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
23.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
22.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
22.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
22.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
20.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
19.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
17.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
16.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
15.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
15.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
9.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
6.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
MGAT5 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
47.2
Number of samples
486
Samples
Sample
Description
TPM
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
131.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
131.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
128.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
127.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
125.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
120.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
119.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
116.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
112.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
112.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
111.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
107.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
106.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
106.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
105.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
101.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
98.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
98.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
97.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
95.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
95.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
94.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
91.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
90.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
90.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
89.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
88.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
88.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
83.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
83.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
80.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
79.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
79.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
76.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
76.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
74.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
74.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
73.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
73.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
72.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
70.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
70.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
69.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
69.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
67.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
66.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
63.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
63.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
59.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
58.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
57.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
55.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
54.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
54.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
52.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
51.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
51.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
50.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
49.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
45.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
41.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
38.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
36.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
34.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
33.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
33.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
31.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
30.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
30.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
30.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
30.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
30.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
30.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
29.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
29.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
29.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
29.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
29.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
29.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
28.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
28.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
28.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
27.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
27.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
26.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
26.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
25.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
25.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
24.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
23.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
23.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
23.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
23.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
23.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
23.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
22.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
21.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
21.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
21.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
20.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
20.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
19.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
19.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
18.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
17.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
16.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
16.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
16.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
15.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
14.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
14.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
14.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
14.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
13.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MGAT5 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
34.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
88.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
84.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
83.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
73.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
70.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
62.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
60.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
58.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
56.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
43.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
42.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
38.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
35.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
29.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
29.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
28.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
24.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
17.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MGAT5 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
44.6
Number of samples
207
Samples
Sample
Description
TPM
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
114.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
113.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
111.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
96.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
91.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
90.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
87.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
84.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
82.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
81.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
79.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
79.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
78.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
75.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
70.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
70.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
68.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
66.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
66.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
64.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
63.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
56.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
55.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
49.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
47.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
45.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
40.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
40.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
40.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
39.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
32.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
31.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
31.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
30.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
29.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
25.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
23.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
23.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
22.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.3
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
