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.
THBS2 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
29.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
426.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
290.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
228.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
224.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
218.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
204.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
177.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
177.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
170.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
152.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
149.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
128.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
117.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
115.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
108.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
108.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
98.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
93.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
92.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
92.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
85.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
85.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
84.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
72.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
71.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
66.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
64.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
58.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
58.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
54.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
54.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
48.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
47.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
36.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
33.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
28.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
26.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
25.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
25.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
23.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
21.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
21.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
18.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
13.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
11.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
10.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
9.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
4.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
3.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
3.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
3.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
0.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
0.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
0.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
0.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
0.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
0.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
0.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
0.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
THBS2 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
67.5
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
524.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
523.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
439.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
394.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
341.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
324.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
320.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
313.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
292.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
282.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
264.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
260.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
247.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
237.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
222.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
220.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
214.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
200.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
186.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
183.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
182.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
180.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
179.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
177.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
174.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
172.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
170.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
169.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
169.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
165.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
164.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
163.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
162.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
162.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
162.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
159.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
155.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
154.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
153.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
152.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
151.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
147.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
144.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
143.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
143.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
141.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
139.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
139.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
138.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
135.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
135.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
130.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
129.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
126.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
125.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
123.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
122.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
121.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
119.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
119.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
117.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
117.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
116.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
115.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
114.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
114.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
114.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
113.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
112.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
111.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
111.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
110.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
110.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
109.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
107.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
106.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
104.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
104.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
104.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
103.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
102.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
102.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
102.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
101.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
100.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
100.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
100.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
100.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
100.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
100.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
100.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
97.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
97.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
97.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
96.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
95.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
94.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
94.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
94.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
93.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
93.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
93.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
92.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
92.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
91.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
91.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
91.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
90.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
90.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
90.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
90.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
90.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
89.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
89.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
88.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
88.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
88.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
87.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
87.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
87.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
86.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
86.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
85.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
85.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
85.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
85.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
85.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
84.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
84.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
84.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
83.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
83.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
83.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
83.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
83.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
82.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
82.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
81.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
81.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
80.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
80.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
79.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
78.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
77.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
77.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
77.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
77.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
76.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
75.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
75.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
71.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
71.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
71.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
70.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
69.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
68.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
67.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
66.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
63.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
63.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
62.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
61.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
61.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
60.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
60.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
57.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
54.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
51.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
51.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
51.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
44.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
39.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
35.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
33.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
30.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
30.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
30.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
29.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
28.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
26.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
25.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
24.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
24.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
23.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
23.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
21.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
21.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
21.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
20.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
19.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
19.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
19.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
18.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
18.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
17.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
17.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
16.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
16.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
16.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
16.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
15.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
15.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
15.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
15.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
14.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
14.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
14.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
14.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
13.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
13.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
13.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
13.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
12.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
12.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
12.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
12.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
12.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
12.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
12.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
11.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
10.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
10.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
10.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
10.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
10.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
10.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
9.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
9.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
8.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
8.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
8.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
8.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
8.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
7.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
7.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
7.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
7.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
7.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
6.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
6.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
6.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
6.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
6.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
5.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
5.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
5.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
5.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
5.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
4.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
4.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
4.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
4.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
4.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
3.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
3.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
3.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
3.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
3.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
3.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
3.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
2.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
2.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
2.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
0.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
0.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
0.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
0.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 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.
THBS2 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
30.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
266.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
246.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
216.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
129.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
120.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
108.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
97.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
97.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
62.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
35.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
20.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
9.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
8.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
4.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
4.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
0.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
0.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
0.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
THBS2 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
64.5
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
640.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
574.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
462.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
364.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
300.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
281.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
279.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
266.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
230.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
225.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
221.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
204.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
198.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
196.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
192.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
191.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
183.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
171.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
165.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
159.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
151.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
148.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
141.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
136.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
133.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
128.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
128.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
127.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
122.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
113.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
112.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
109.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
106.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
103.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
100.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
100.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
99.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
99.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
97.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
95.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
95.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
95.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
94.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
93.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
90.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
88.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
84.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
83.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
82.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
82.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
76.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
75.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
74.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
73.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
72.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
69.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
68.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
68.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
65.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
61.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
34.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
29.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
28.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
25.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
24.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
23.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
21.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
20.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
20.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
19.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
17.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
17.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
16.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
16.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
15.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
15.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
14.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
14.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
13.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
13.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
12.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
12.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
11.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
10.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
9.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
9.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
8.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
8.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
8.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
8.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
7.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
7.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
7.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
7.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
6.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
6.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
6.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
6.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
5.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
4.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
4.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
3.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
3.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
3.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
3.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
2.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
2.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
1.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
0.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
0.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.2
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
3.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
2.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
2.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
2.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
2.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
2.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
2.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
2.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
1.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
1.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.9
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.9
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.9
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-1.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-1.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-1.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-1.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-1.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-2.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-2.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.3
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
