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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.
MLXIP 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
34.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
78.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
75.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
73.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
70.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
70.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
62.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
54.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
54.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
52.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
51.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
50.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
50.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
47.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
46.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
45.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
44.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
43.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
42.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
40.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
38.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
37.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
36.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
35.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
33.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
33.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
33.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
32.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
31.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
31.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
30.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
27.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
27.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
27.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
26.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
26.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
26.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
25.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
25.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
24.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
22.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
21.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
21.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
21.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
21.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
19.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
17.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
9.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
MLXIP 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
80.0
Number of samples
486
Samples
Sample
Description
TPM
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
213.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
202.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
185.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
178.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
175.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
167.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
165.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
158.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
153.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
147.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
142.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
141.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
140.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
139.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
136.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
135.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
131.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
130.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
130.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
128.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
128.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
127.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
127.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
126.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
125.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
125.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
124.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
124.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
124.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
123.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
122.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
122.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
122.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
121.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
120.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
120.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
120.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
119.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
118.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
118.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
118.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
118.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
117.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
116.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
116.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
116.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
116.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
116.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
116.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
115.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
115.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
114.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
113.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
112.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
111.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
111.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
111.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
110.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
110.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
110.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
109.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
109.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
108.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
108.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
108.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
108.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
107.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
107.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
107.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
107.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
106.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
106.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
106.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
106.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
105.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
105.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
105.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
104.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
104.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
104.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
103.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
103.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
102.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
102.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
102.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
101.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
101.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
101.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
100.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
100.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
100.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
99.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
99.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
98.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
98.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
98.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
97.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
97.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
97.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
97.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
97.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
96.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
96.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
96.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
96.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
95.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
95.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
95.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
94.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
94.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
94.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
94.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
94.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
94.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
93.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
93.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
93.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
93.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
91.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
91.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
91.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
91.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
90.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
90.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
90.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
90.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
90.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
90.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
90.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
90.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
89.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
89.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
89.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
89.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
89.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
88.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
88.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
88.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
88.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
88.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
87.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
87.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
87.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
87.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
87.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
87.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
87.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
86.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
86.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
86.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
86.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
86.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
85.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
85.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
85.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
85.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
84.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
84.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
84.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
84.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
83.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
83.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
83.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
83.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
83.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
83.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
83.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
83.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
82.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
82.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
82.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
82.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
82.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
81.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
81.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
81.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
80.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
80.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
80.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
80.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
80.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
80.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
79.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
79.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
79.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
79.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
79.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
79.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
78.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
78.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
78.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
78.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
78.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
77.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
77.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
77.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
77.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
76.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
76.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
76.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
76.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
76.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
76.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
76.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
76.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
76.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
75.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
75.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
74.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
74.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
74.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
74.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
74.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
73.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
73.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
73.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
73.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
73.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
72.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
72.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
71.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
71.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
70.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
70.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
70.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
70.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
69.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
69.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
69.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
69.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
68.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
68.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
68.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
67.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
67.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
67.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
67.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
67.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
66.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
66.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
66.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
65.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
65.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
65.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
65.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
64.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
64.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
64.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
63.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
63.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
62.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
62.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
61.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
61.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
61.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
59.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
59.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
58.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
57.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
57.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
56.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
56.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
55.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
52.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
51.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
48.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
46.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MLXIP 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
32.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
81.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
79.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
57.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
46.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
45.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
45.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
38.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
34.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
33.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
32.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
29.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
26.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
23.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
22.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
15.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
14.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
MLXIP 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
84.4
Number of samples
207
Samples
Sample
Description
TPM
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
160.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
154.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
152.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
151.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
148.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
144.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
139.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
139.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
138.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
134.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
132.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
128.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
128.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
125.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
123.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
122.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
121.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
121.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
120.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
114.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
113.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
112.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
112.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
112.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
111.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
110.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
110.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
109.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
106.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
106.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
105.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
105.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
105.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
104.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
103.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
102.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
102.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
102.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
101.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
101.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
101.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
100.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
99.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
99.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
99.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
97.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
97.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
95.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
95.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
94.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
92.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
92.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
92.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
91.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
90.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
90.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
90.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
90.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
89.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
89.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
89.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
89.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
89.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
88.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
88.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
88.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
88.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
88.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
87.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
87.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
87.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
87.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
86.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
86.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
86.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
85.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
85.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
85.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
84.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
84.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
84.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
84.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
84.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
83.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
83.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
82.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
82.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
81.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
81.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
81.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
81.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
81.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
81.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
80.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
79.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
79.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
79.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
78.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
76.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
76.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
76.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
76.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
75.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
75.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
75.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
74.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
74.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
74.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
73.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
72.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
72.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
72.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
71.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
71.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
70.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
70.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
70.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
69.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
69.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
69.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
69.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
69.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
68.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
68.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
68.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
68.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
67.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
67.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
67.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
66.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
66.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
64.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
64.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
63.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
62.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
60.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
56.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
39.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
1.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.5
b2400046-1d25-429d-a821-6040a6
Tumor
-1.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
