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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.
MXRA5 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
15.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
203.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
120.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
110.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
102.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
94.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
91.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
87.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
82.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
69.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
53.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
52.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
51.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
44.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
44.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
36.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
34.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
30.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
26.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
26.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
25.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
21.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
21.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
19.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
17.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
16.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
15.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
15.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
13.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
13.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
12.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
11.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
9.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
8.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
6.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
6.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
6.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
5.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
5.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
4.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
4.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
4.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
4.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
3.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
3.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
3.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 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.
MXRA5 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
48.9
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
226.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
223.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
213.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
212.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
202.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
188.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
182.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
178.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
176.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
169.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
156.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
150.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
146.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
140.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
138.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
135.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
132.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
130.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
130.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
129.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
128.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
127.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
124.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
122.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
122.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
121.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
121.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
120.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
120.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
120.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
116.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
110.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
109.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
106.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
105.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
104.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
103.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
98.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
98.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
92.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
91.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
91.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
90.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
90.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
89.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
88.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
87.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
87.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
86.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
85.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
85.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
83.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
80.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
79.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
79.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
79.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
78.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
78.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
75.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
75.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
75.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
74.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
74.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
73.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
72.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
70.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
68.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
68.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
67.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
66.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
66.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
64.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
63.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
62.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
60.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
60.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
59.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
58.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
55.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
53.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
50.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
48.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
47.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
46.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
41.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
38.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
36.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
31.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
31.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
30.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
30.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
29.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
28.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
28.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
27.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
26.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
26.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
26.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
25.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
25.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
25.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
25.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
24.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
24.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
24.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
23.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
23.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
22.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
22.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
22.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
22.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
22.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
22.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
22.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
22.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
21.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
21.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
21.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
21.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
20.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
20.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
19.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
19.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
19.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
19.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
19.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
19.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
18.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
18.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
18.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
18.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
17.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
17.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
17.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
16.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
16.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
16.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
15.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
15.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
15.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
15.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
15.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
14.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
14.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
14.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
14.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
14.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
14.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
14.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
13.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
13.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
13.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
13.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
13.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
13.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
13.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
12.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
12.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
12.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
12.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
12.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
12.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
12.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
11.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
11.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
11.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
11.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
11.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
11.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
10.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
10.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
10.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
10.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
10.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
10.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
10.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
9.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
9.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
8.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
8.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
7.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
7.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
5.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
MXRA5 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
14.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
111.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
66.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
44.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
26.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
24.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
15.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
15.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
15.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
15.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
9.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
9.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
8.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
8.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
6.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
5.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
5.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
4.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
3.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
3.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
MXRA5 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
45.1
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
297.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
242.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
176.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
145.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
142.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
139.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
139.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
127.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
125.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
123.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
112.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
109.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
109.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
107.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
107.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
106.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
106.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
96.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
93.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
91.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
88.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
86.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
84.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
82.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
79.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
75.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
74.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
72.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
71.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
71.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
67.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
66.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
66.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
63.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
55.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
53.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
53.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
51.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
51.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
51.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
48.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
39.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
34.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
32.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
30.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
27.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
26.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
25.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
25.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
23.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
23.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
22.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
22.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
21.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
21.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
21.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
21.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
21.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
20.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
20.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
20.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
19.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
19.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
19.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
19.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
18.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
18.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
18.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
17.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
16.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
16.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
16.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
15.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
14.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
14.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
14.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
14.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
14.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
13.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
13.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
13.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
12.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
12.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
12.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
12.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
11.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
11.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
11.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
11.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
10.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
9.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
8.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
8.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
7.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
6.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
2.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
2.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-1.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.2
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.