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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.
THBS1 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
47.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
422.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
398.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
350.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
340.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
336.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
231.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
183.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
154.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
151.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
141.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
138.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
137.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
136.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
134.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
129.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
121.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
120.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
116.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
110.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
109.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
107.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
102.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
102.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
102.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
95.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
90.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
84.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
83.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
77.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
77.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
76.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
76.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
75.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
74.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
73.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
72.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
71.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
69.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
67.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
67.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
64.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
64.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
63.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
63.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
62.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
61.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
60.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
60.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
58.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
58.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
53.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
52.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
51.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
47.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
47.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
45.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
43.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
42.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
41.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
38.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
37.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
37.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
35.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
35.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
34.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
32.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
31.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
29.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
29.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
28.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
26.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
26.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
25.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
25.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
24.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
23.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
23.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
22.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
20.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
15.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
13.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
12.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
10.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
8.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
THBS1 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
145.1
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
710.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
677.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
670.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
574.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
572.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
569.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
494.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
494.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
482.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
479.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
460.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
438.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
423.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
382.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
378.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
372.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
358.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
355.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
351.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
347.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
344.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
339.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
333.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
327.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
317.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
315.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
314.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
313.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
311.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
311.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
309.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
305.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
304.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
298.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
296.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
294.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
292.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
286.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
285.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
283.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
283.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
281.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
280.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
279.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
264.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
258.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
257.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
257.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
257.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
254.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
253.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
252.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
245.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
243.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
240.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
237.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
236.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
236.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
235.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
234.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
234.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
231.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
229.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
229.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
228.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
226.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
225.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
225.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
224.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
222.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
221.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
221.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
220.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
220.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
218.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
215.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
215.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
215.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
214.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
214.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
210.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
210.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
209.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
206.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
206.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
205.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
203.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
203.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
202.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
200.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
198.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
197.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
196.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
196.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
194.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
194.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
192.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
192.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
191.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
191.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
188.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
187.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
186.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
186.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
186.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
185.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
185.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
185.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
184.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
184.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
184.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
183.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
181.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
181.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
179.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
178.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
178.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
175.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
175.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
175.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
175.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
175.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
175.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
174.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
173.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
173.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
172.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
171.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
170.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
169.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
169.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
169.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
168.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
168.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
167.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
167.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
165.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
164.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
164.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
164.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
163.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
162.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
161.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
160.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
160.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
159.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
159.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
159.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
158.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
158.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
158.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
157.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
156.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
156.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
156.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
156.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
155.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
155.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
155.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
154.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
154.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
154.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
154.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
153.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
152.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
152.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
152.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
152.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
151.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
151.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
149.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
148.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
148.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
148.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
148.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
147.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
147.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
147.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
147.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
146.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
145.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
144.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
143.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
143.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
143.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
142.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
142.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
142.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
140.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
140.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
140.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
140.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
139.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
139.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
139.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
139.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
138.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
138.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
137.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
137.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
137.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
137.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
136.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
136.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
135.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
135.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
135.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
135.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
135.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
134.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
134.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
134.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
134.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
133.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
133.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
133.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
133.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
133.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
132.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
132.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
132.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
132.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
131.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
130.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
129.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
129.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
129.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
129.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
128.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
128.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
128.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
128.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
126.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
126.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
126.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
125.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
125.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
125.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
125.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
125.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
125.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
124.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
124.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
124.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
123.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
122.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
122.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
122.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
122.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
121.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
121.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
120.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
120.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
120.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
120.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
120.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
119.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
119.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
119.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
118.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
118.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
118.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
117.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
116.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
116.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
116.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
115.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
115.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
113.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
113.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
113.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
112.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
111.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
111.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
111.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
111.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
110.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
110.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
110.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
110.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
109.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
109.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
109.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
109.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
109.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
109.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
109.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
108.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
108.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
108.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
108.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
108.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
107.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
107.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
106.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
106.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
105.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
105.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
104.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
103.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
103.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
103.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
102.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
101.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
101.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
101.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
100.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
100.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
100.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
99.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
99.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
98.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
97.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
97.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
97.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
96.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
95.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
95.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
93.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
93.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
93.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
93.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
93.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
92.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
92.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
91.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
90.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
90.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
90.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
89.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
89.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
89.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
88.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
88.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
88.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
88.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
87.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
87.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
87.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
86.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
85.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
84.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
84.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
84.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
84.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
83.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
83.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
83.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
82.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
82.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
82.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
82.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
81.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
81.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
80.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
79.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
79.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
79.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
78.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
78.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
77.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
77.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
76.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
75.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
75.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
75.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
73.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
72.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
71.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
68.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
66.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
65.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
64.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
64.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
64.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
64.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
63.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
63.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
62.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
61.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
53.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
49.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
45.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
22.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
THBS1 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
44.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
263.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
174.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
166.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
118.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
111.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
95.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
90.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
88.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
82.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
81.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
77.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
75.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
74.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
72.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
69.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
67.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
67.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
67.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
62.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
51.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
50.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
49.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
41.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
40.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
36.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
32.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
29.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
25.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
24.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
21.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
19.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
14.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
11.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
7.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
7.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
THBS1 is potential prognostic, high expression is favorable 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
155.2
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1571.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
702.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
630.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
538.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
432.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
421.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
404.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
403.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
403.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
353.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
345.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
331.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
304.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
301.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
301.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
300.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
294.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
289.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
286.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
285.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
284.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
278.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
277.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
275.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
274.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
270.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
268.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
265.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
262.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
251.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
246.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
242.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
241.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
240.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
232.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
231.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
230.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
228.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
218.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
215.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
214.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
207.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
204.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
202.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
201.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
200.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
200.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
197.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
197.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
190.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
188.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
185.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
185.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
181.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
180.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
179.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
178.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
178.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
178.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
176.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
175.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
173.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
169.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
166.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
162.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
162.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
158.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
154.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
153.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
152.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
151.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
150.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
150.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
149.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
149.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
149.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
147.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
147.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
145.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
145.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
144.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
143.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
143.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
142.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
140.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
140.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
140.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
140.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
139.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
139.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
139.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
138.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
137.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
134.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
133.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
132.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
131.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
130.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
128.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
128.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
126.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
123.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
123.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
122.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
121.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
119.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
119.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
118.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
118.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
117.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
116.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
116.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
115.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
114.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
112.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
111.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
106.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
105.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
103.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
103.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
103.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
98.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
98.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
98.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
98.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
98.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
98.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
97.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
97.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
97.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
96.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
96.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
96.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
96.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
95.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
95.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
93.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
93.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
92.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
91.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
90.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
90.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
89.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
88.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
87.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
86.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
86.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
85.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
85.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
83.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
82.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
80.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
79.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
77.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
77.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
77.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
76.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
75.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
75.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
74.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
74.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
73.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
71.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
69.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
67.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
67.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
65.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
63.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
62.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
56.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
50.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
44.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.3
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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
2.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
2.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
1.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
1.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.9
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.9
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.9
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.8
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.9
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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
