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.
GIT1 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
35.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
92.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
90.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
86.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
77.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
73.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
73.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
73.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
72.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
69.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
68.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
65.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
61.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
60.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
58.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
57.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
57.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
56.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
54.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
54.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
54.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
53.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
53.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
52.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
49.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
47.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
46.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
45.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
45.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
45.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
44.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
44.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
42.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
41.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
39.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
36.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
35.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
35.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
34.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
34.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
33.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
32.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
32.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
32.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
32.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
30.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
29.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
27.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
26.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
25.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
25.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
25.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
25.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
24.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
19.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
17.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
GIT1 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
43.7
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
180.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
104.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
90.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
90.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
90.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
86.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
85.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
78.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
78.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
77.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
77.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
70.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
67.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
67.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
66.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
65.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
64.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
62.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
61.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
59.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
59.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
58.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
57.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
56.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
54.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
54.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
54.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
49.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
49.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
48.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
48.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
47.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
47.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
47.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
43.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
41.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
39.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
38.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
37.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
35.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
32.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
32.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
31.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
31.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
30.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
29.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
29.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
29.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
29.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
28.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
28.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
28.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
27.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
27.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
26.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
26.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
26.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
25.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
25.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
25.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
24.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
22.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
22.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
17.9
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.
GIT1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
32.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
77.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
65.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
56.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
52.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
45.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
45.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
43.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
39.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
37.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
34.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
34.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
32.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
30.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
28.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
16.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GIT1 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
40.1
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
197.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
92.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
86.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
81.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
80.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
73.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
68.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
67.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
62.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
57.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
55.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
54.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
51.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
42.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
41.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
41.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
36.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
30.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
30.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
29.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
28.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
26.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
26.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
25.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
24.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
23.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
23.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
22.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
21.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
21.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
21.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
20.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
20.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
19.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
18.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
