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.
ITGB5 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
55.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
274.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
221.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
188.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
150.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
135.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
135.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
131.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
129.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
122.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
122.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
122.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
119.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
119.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
116.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
111.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
111.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
110.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
110.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
110.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
109.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
102.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
99.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
98.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
95.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
92.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
91.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
91.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
88.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
86.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
85.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
85.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
84.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
83.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
82.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
82.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
82.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
82.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
80.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
80.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
79.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
79.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
78.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
77.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
77.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
77.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
76.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
76.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
74.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
74.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
72.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
70.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
69.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
68.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
68.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
67.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
66.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
66.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
65.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
64.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
64.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
63.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
62.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
59.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
59.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
58.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
58.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
57.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
57.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
57.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
56.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
55.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
53.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
50.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
49.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
49.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
48.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
47.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
47.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
46.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
45.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
44.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
42.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
41.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
40.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
39.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
38.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
37.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
35.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
31.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
30.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
28.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
26.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
24.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
24.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
22.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
21.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
15.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 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.
ITGB5 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
60.8
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
203.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
151.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
144.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
138.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
137.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
129.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
127.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
125.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
125.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
122.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
118.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
112.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
111.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
111.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
110.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
110.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
109.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
109.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
108.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
108.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
104.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
103.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
101.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
99.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
97.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
96.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
96.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
96.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
95.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
93.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
93.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
93.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
92.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
92.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
90.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
90.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
88.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
88.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
88.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
88.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
88.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
87.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
87.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
87.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
86.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
86.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
85.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
85.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
85.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
84.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
82.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
82.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
82.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
81.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
81.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
80.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
80.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
79.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
79.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
79.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
78.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
77.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
77.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
77.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
77.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
77.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
76.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
76.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
75.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
74.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
74.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
73.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
73.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
73.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
72.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
72.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
72.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
71.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
71.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
71.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
71.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
70.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
69.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
69.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
68.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
68.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
68.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
67.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
67.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
66.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
66.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
65.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
65.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
64.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
64.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
64.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
64.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
63.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
63.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
62.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
62.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
62.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
62.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
62.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
62.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
61.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
61.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
60.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
60.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
60.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
59.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
59.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
57.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
55.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
55.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
53.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
52.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
52.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
50.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
49.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
48.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
45.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
40.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
38.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
38.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
38.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
37.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
36.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
34.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
30.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITGB5 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
58.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
199.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
159.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
151.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
130.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
127.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
127.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
124.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
113.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
109.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
107.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
91.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
88.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
87.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
83.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
83.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
77.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
73.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
68.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
65.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
62.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
62.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
59.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
59.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
51.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
48.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
47.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
40.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
37.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
33.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
22.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.1
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.
ITGB5 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
55.0
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
156.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
134.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
133.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
128.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
119.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
116.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
111.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
103.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
102.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
101.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
101.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
101.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
99.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
98.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
98.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
97.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
97.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
96.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
94.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
92.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
89.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
88.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
86.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
86.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
86.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
83.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
79.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
78.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
78.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
77.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
76.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
70.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
70.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
70.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
69.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
68.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
67.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
65.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
63.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
63.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
62.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
62.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
55.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
53.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
52.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
52.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
50.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
45.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
30.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
22.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
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
