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.
ITGA3 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
31.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
491.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
125.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
124.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
97.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
93.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
86.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
85.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
81.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
62.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
62.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
60.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
59.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
58.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
57.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
56.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
56.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
53.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
52.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
52.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
50.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
50.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
49.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
48.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
47.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
46.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
46.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
44.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
41.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
41.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
41.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
39.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
37.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
37.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
35.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
34.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
34.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
33.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
33.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
32.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
32.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
31.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
31.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
29.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
29.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
28.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
28.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
27.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
26.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
26.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
25.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
25.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
25.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
25.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
24.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
24.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
23.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
23.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
22.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
22.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
22.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
21.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
21.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
20.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
19.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
19.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
19.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
19.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
18.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
18.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
17.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
11.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
11.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
ITGA3 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
37.7
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
347.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
324.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
266.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
262.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
244.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
217.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
171.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
139.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
116.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
112.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
103.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
100.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
94.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
92.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
92.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
91.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
90.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
86.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
77.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
75.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
74.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
66.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
66.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
66.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
64.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
62.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
62.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
59.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
57.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
57.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
56.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
53.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
51.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
51.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
48.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
47.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
45.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
45.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
43.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
41.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
38.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
36.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
35.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
34.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
33.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
33.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
33.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
33.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
32.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
32.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
31.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
31.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
31.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
31.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
31.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
30.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
30.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
30.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
30.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
29.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
29.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
29.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
29.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
29.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
29.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
28.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
28.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
28.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
28.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
28.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
28.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
28.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
27.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
27.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
26.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
26.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
26.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
26.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
26.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
26.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
26.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
26.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
26.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
26.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
25.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
25.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
25.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
24.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
24.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
24.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
24.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
24.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
24.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
23.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
23.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
23.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
23.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
23.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
23.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
22.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
22.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
22.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
22.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
22.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
22.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
22.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
22.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
22.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
21.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
21.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
21.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
21.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
21.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
21.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
21.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
21.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
21.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
20.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
20.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
20.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
20.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
20.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
20.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
20.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
20.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
20.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
20.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
20.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
20.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
19.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
19.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
19.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
19.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
19.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
19.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
19.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
18.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
18.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
18.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
18.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
18.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
18.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
18.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
18.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
18.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
18.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
17.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
17.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
17.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
17.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
17.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
17.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
17.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
17.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
16.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
16.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
16.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
16.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
16.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
16.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
16.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
15.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
15.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
15.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
15.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
15.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
15.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
14.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
14.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
14.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
14.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
14.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
13.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
12.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
12.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
12.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
12.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
11.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
11.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
11.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
11.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
11.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
10.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
10.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
10.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
10.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
10.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
9.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
9.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
8.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
ITGA3 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
24.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
77.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
65.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
45.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
35.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
34.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
28.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
27.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
25.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
24.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
23.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
22.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
20.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
18.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
12.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
11.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
ITGA3 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
30.8
Number of samples
207
Samples
Sample
Description
TPM
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
141.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
136.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
86.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
80.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
70.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
69.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
61.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
52.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
52.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
45.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
34.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
29.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
29.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
28.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
28.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
28.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
27.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
27.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
26.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
26.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
26.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
25.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
25.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
24.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
24.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
24.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
23.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
23.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
23.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
23.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
22.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
22.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
22.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
22.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
21.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
21.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
21.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
21.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
21.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
21.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
20.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
19.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
19.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
18.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
18.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
18.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
17.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
17.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
17.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
17.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
16.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
15.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
15.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
15.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
15.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
14.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
13.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
13.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
13.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
12.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
12.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
12.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
10.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
9.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
8.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
8.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
8.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
8.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
8.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
7.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.9
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-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.