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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.
COL12A1 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
43.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
556.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
376.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
319.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
276.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
273.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
239.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
197.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
196.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
193.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
139.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
134.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
130.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
127.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
127.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
122.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
118.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
109.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
108.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
104.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
102.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
96.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
93.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
91.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
89.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
88.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
86.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
86.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
80.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
80.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
78.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
77.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
76.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
73.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
72.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
71.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
69.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
68.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
65.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
62.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
59.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
56.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
56.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
54.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
54.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
50.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
48.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
45.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
44.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
44.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
42.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
41.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
40.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
37.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
36.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
36.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
35.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
32.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
28.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
27.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
23.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
22.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
21.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
20.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
20.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
19.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
13.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
6.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 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.
COL12A1 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
118.3
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
620.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
543.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
528.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
448.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
419.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
419.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
375.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
371.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
364.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
363.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
354.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
338.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
334.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
327.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
314.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
310.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
308.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
304.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
295.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
291.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
288.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
286.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
285.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
281.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
272.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
272.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
267.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
265.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
262.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
258.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
255.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
251.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
251.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
250.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
249.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
244.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
244.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
237.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
235.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
230.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
228.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
228.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
226.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
225.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
225.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
224.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
223.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
221.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
221.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
217.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
216.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
215.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
214.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
213.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
211.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
211.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
210.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
209.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
204.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
204.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
201.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
199.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
197.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
193.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
192.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
191.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
190.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
189.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
186.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
185.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
184.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
184.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
183.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
182.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
181.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
179.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
179.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
177.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
175.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
173.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
173.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
172.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
171.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
171.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
171.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
169.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
169.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
169.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
169.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
166.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
166.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
166.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
166.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
165.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
164.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
163.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
163.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
163.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
162.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
161.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
160.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
160.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
160.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
159.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
159.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
158.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
157.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
157.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
157.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
156.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
155.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
155.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
155.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
155.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
154.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
154.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
152.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
152.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
151.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
151.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
151.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
151.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
150.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
150.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
150.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
150.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
149.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
149.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
148.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
148.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
148.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
147.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
147.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
147.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
145.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
145.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
143.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
143.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
143.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
142.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
140.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
139.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
139.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
138.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
138.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
138.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
137.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
137.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
134.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
134.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
134.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
133.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
133.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
133.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
132.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
131.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
131.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
131.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
131.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
130.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
130.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
130.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
130.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
129.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
129.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
129.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
128.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
128.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
128.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
127.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
127.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
127.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
127.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
126.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
126.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
125.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
124.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
123.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
123.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
121.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
121.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
121.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
121.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
120.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
119.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
119.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
119.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
118.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
118.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
118.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
118.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
118.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
117.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
117.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
117.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
116.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
116.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
115.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
114.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
113.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
113.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
112.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
112.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
112.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
111.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
111.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
111.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
111.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
111.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
110.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
110.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
110.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
110.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
110.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
110.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
109.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
109.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
109.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
109.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
108.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
108.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
108.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
107.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
107.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
105.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
105.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
104.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
104.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
103.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
103.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
102.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
101.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
101.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
100.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
100.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
100.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
99.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
99.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
99.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
99.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
98.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
98.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
98.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
98.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
98.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
97.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
97.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
96.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
95.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
95.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
95.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
94.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
94.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
93.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
93.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
93.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
93.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
92.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
92.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
92.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
91.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
91.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
90.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
90.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
88.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
88.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
88.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
87.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
87.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
87.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
87.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
86.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
86.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
85.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
85.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
85.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
84.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
84.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
84.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
83.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
82.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
82.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
81.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
81.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
80.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
80.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
80.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
79.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
79.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
78.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
78.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
78.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
78.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
78.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
77.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
77.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
77.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
76.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
76.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
75.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
74.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
74.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
73.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
73.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
72.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
71.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
71.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
69.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
69.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
68.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
66.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
65.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
64.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
62.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
60.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
59.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
57.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
57.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
57.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
55.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
53.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
52.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
51.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
35.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
32.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
28.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
24.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
24.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
22.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
21.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
20.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
19.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
19.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
19.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
18.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
17.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
15.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
14.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
14.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
12.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
10.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
COL12A1 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
41.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
358.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
202.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
167.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
150.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
142.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
113.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
107.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
86.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
83.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
78.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
74.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
66.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
66.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
59.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
59.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
58.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
57.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
54.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
48.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
47.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
34.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
33.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
29.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
28.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
25.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
19.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
16.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
15.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
5.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
COL12A1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
103.1
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
439.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
429.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
422.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
401.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
372.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
367.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
339.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
305.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
294.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
289.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
248.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
246.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
241.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
233.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
224.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
222.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
221.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
217.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
205.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
205.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
204.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
203.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
203.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
201.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
198.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
196.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
195.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
192.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
191.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
191.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
188.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
187.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
183.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
181.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
179.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
178.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
172.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
172.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
166.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
164.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
164.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
161.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
154.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
153.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
153.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
152.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
149.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
148.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
147.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
142.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
140.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
139.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
139.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
134.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
133.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
126.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
125.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
123.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
123.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
119.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
117.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
115.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
114.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
114.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
113.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
113.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
112.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
107.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
107.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
104.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
101.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
101.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
100.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
98.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
98.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
98.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
97.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
97.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
95.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
93.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
93.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
91.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
91.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
89.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
88.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
87.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
87.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
86.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
85.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
83.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
83.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
82.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
79.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
77.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
77.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
77.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
76.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
72.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
72.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
72.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
72.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
71.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
71.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
69.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
65.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
65.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
63.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
62.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
22.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
21.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
20.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
19.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
17.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
15.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
14.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
12.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
11.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
11.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
10.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
9.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
9.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
7.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.3
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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
2.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
2.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
1.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.9
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-1.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-1.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
