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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.
ANXA13 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
23.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
465.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
192.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
188.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
174.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
132.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
115.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
113.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
113.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
88.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
84.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
82.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
81.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
69.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
63.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
62.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
58.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
58.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
54.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
48.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
44.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
42.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
36.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
26.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
24.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
22.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
21.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
20.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
19.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
19.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
18.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
17.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
15.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
14.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
12.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
11.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
11.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
10.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
10.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
9.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
9.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
9.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
9.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
8.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
6.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
6.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
6.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
6.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
5.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
5.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
5.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
5.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
4.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
4.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
4.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
3.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
3.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
3.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
3.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ANXA13 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
19.2
Number of samples
486
Samples
Sample
Description
TPM
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
247.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
229.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
163.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
135.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
126.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
116.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
100.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
95.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
92.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
90.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
83.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
81.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
73.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
69.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
65.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
64.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
62.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
57.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
54.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
51.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
38.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
36.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
29.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
29.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
28.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
28.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
28.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
28.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
28.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
26.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
26.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
25.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
25.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
25.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
25.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
25.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
25.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
25.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
24.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
24.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
24.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
24.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
23.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
23.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
23.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
23.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
23.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
22.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
22.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
22.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
22.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
22.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
21.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
21.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
21.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
21.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
21.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
20.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
20.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
20.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
20.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
19.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
19.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
19.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
19.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
19.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
18.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
18.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
18.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
18.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
18.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
18.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
18.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
18.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
18.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
18.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
17.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
17.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
17.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
17.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
17.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
17.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
17.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
17.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
16.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
16.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
16.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
16.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
16.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
16.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
16.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
16.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
16.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
15.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
15.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
15.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
15.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
15.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
15.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
15.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
15.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
15.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
14.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
14.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
14.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
14.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
14.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
14.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
14.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
14.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
14.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
14.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
14.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
14.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
14.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
13.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
13.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
13.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
13.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
13.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
13.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
13.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
13.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
13.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
13.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
12.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
12.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
12.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
12.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
12.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
12.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
12.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
12.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
12.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
12.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
11.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
11.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
11.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
11.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
11.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
11.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
11.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
11.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
11.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
11.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
11.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
11.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
11.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
11.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
11.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
10.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
10.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
10.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
10.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
10.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
10.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
10.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
10.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
10.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
10.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
10.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
10.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
10.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
10.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
10.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
10.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
9.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
9.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
9.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
9.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
9.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
9.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
9.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
9.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
9.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
9.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
9.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
9.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
9.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
9.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
9.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
9.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
9.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
9.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
9.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
8.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
8.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
8.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
8.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
8.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
8.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
8.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
8.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
8.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
8.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
8.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
8.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
8.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
8.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
8.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
8.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
8.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
8.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
8.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
8.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
7.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
7.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
7.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
7.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
7.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
7.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
7.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
7.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
7.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
7.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
7.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
7.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
7.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
7.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
7.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
7.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
6.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
6.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
6.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
6.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
6.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
6.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
6.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
6.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
6.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
6.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
6.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
6.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
6.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
6.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
6.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
6.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
6.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
6.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
6.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
6.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
6.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
6.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
6.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
5.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
5.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
5.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
5.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
5.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
5.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
5.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
5.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
5.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
5.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
5.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
5.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
5.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
5.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
5.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
5.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
5.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
5.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
5.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
5.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
5.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
5.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
5.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
5.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
5.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
5.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
5.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
5.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
5.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
5.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
5.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
5.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
5.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
4.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
4.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
4.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
4.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
4.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
4.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
4.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
4.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
4.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
4.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
4.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
4.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
4.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
3.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
3.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
3.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
3.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
3.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
3.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
3.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
3.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
3.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
3.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
3.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
3.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
3.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
3.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
3.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
3.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
3.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
3.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
3.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
3.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
3.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
3.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
3.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
3.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
3.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
3.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
2.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
2.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
2.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
2.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
2.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
2.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
2.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
2.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
2.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
2.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
2.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
2.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
2.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
2.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
1.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
0.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
0.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
0.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
0.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 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.
ANXA13 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
23.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
115.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
102.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
97.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
91.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
83.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
80.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
50.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
46.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
42.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
34.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
18.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
18.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
14.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
13.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
11.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
6.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
6.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
5.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
5.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
5.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
5.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
4.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 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.
ANXA13 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
17.1
Number of samples
207
Samples
Sample
Description
TPM
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
100.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
86.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
70.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
52.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
30.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
29.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
28.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
28.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
26.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
25.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
24.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
23.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
23.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
23.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
23.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
23.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
22.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
21.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
21.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
20.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
20.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
19.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
19.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
18.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
18.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
18.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
18.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
18.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
17.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
17.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
17.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
17.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
17.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
16.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
16.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
16.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
16.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
16.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
16.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
15.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
15.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
15.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
14.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
14.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
13.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
13.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
13.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
13.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
13.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
12.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
12.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
12.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
12.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
12.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
12.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
12.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
12.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
11.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
11.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
11.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
11.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
11.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
11.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
11.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
11.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
11.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
10.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
10.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
10.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
10.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
10.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
10.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
10.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
10.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
9.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
9.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
9.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
9.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
9.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
9.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
8.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
8.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
8.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
8.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
8.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
8.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
8.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
8.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
8.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
7.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
7.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
7.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
7.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
7.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
7.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
7.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
7.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
6.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
6.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
6.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
6.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
6.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
6.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
6.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
5.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
5.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
5.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
5.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
5.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
5.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
5.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
5.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
5.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
5.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
5.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
5.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
5.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
5.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
5.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
5.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
4.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
4.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
4.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
4.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
4.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
4.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
4.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
4.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
4.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
4.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
3.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
3.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
3.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
3.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
3.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
3.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
3.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
3.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
2.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
2.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
2.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
2.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
2.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
1.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
0.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
0.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
0.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
0.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
2.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.9
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-2.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
