We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
TMEM33 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
25.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
95.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
67.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
63.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
54.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
50.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
46.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
46.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
43.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
43.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
41.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
35.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
34.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
34.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
34.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
33.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
33.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
32.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
32.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
32.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
31.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
31.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
29.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
29.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
28.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
27.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
25.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
25.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
24.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
23.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
23.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
22.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
22.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
21.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
21.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
20.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
19.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
19.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
19.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
19.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
18.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
17.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
17.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
16.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
14.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
14.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
12.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
10.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
TMEM33 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
77.2
Number of samples
486
Samples
Sample
Description
TPM
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
156.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
148.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
146.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
135.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
130.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
128.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
126.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
123.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
122.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
121.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
120.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
118.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
117.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
117.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
116.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
116.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
114.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
114.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
114.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
114.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
113.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
113.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
113.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
111.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
110.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
110.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
109.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
109.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
109.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
108.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
108.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
108.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
107.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
107.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
107.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
106.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
106.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
106.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
106.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
106.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
105.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
105.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
105.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
105.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
104.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
103.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
103.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
102.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
102.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
101.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
101.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
101.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
101.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
101.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
101.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
100.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
99.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
99.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
98.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
98.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
98.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
98.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
98.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
98.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
97.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
96.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
96.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
96.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
96.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
96.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
96.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
95.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
95.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
95.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
94.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
94.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
94.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
94.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
94.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
94.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
93.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
93.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
93.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
93.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
92.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
92.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
92.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
92.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
91.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
91.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
91.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
91.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
91.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
91.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
91.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
90.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
90.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
90.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
90.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
90.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
90.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
90.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
90.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
89.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
89.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
89.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
89.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
89.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
89.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
89.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
88.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
88.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
88.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
88.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
88.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
87.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
87.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
87.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
87.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
87.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
85.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
85.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
85.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
85.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
85.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
85.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
84.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
84.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
84.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
84.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
84.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
84.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
83.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
83.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
83.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
83.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
83.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
82.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
82.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
82.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
82.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
82.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
82.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
81.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
81.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
81.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
81.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
81.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
80.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
80.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
80.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
80.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
80.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
80.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
80.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
80.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
80.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
80.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
79.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
79.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
79.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
79.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
79.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
78.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
78.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
78.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
78.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
78.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
78.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
77.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
77.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
77.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
77.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
77.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
77.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
77.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
76.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
76.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
76.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
76.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
75.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
75.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
75.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
75.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
75.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
75.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
74.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
74.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
74.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
74.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
74.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
74.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
74.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
73.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
73.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
73.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
73.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
73.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
73.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
73.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
72.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
72.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
72.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
72.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
72.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
72.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
71.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
71.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
71.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
71.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
71.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
70.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
70.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
70.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
70.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
70.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
69.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
69.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
69.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
69.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
68.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
68.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
68.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
67.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
67.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
67.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
67.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
66.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
66.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
66.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
65.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
65.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
64.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
64.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
64.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
64.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
64.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
63.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
63.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
63.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
62.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
61.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
61.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
60.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
60.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
60.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
60.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
58.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
58.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
58.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
57.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
57.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
56.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
55.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
55.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
53.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
53.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
52.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
48.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM33 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
24.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
42.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
38.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
36.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
34.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
30.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
30.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
27.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
21.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
21.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM33 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
67.7
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
134.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
117.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
117.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
113.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
108.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
106.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
105.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
104.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
102.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
102.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
99.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
97.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
95.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
95.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
94.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
94.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
92.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
91.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
90.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
89.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
88.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
88.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
88.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
87.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
87.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
87.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
86.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
85.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
84.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
83.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
83.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
81.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
81.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
80.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
79.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
79.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
79.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
79.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
79.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
79.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
79.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
78.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
78.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
77.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
76.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
76.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
76.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
75.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
75.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
75.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
75.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
74.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
74.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
73.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
72.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
71.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
71.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
71.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
71.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
71.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
70.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
70.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
70.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
68.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
67.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
67.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
67.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
66.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
66.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
66.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
65.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
65.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
65.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
64.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
63.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
63.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
62.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
61.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
60.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
59.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
57.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
57.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
55.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
54.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
52.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
52.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
51.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
49.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
49.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
44.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.1
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
