We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CA12 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
29.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
140.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
129.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
118.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
110.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
105.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
97.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
97.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
97.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
96.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
94.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
93.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
92.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
89.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
88.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
87.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
82.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
82.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
79.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
77.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
75.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
72.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
70.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
69.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
64.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
62.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
61.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
59.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
59.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
58.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
57.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
57.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
54.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
53.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
43.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
42.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
37.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
35.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
33.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
32.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
31.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
31.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
31.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
30.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
28.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
26.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
23.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
23.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
22.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
19.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
18.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
17.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
16.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
15.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
15.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
13.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
11.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
10.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
10.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
9.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
8.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
6.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
6.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
6.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
6.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
5.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
4.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
4.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
0.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CA12 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
60.3
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
236.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
197.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
190.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
178.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
178.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
172.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
168.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
161.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
156.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
155.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
154.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
153.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
152.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
150.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
150.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
149.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
147.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
146.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
146.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
145.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
145.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
144.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
143.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
141.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
136.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
136.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
133.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
133.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
132.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
129.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
129.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
129.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
127.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
127.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
125.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
124.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
124.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
121.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
121.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
120.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
120.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
120.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
119.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
119.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
118.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
117.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
117.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
117.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
116.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
115.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
112.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
111.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
111.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
111.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
110.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
110.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
110.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
110.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
109.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
108.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
108.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
107.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
107.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
106.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
105.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
104.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
103.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
102.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
102.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
101.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
101.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
100.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
100.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
99.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
99.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
98.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
98.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
98.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
97.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
96.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
95.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
95.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
95.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
94.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
94.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
94.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
93.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
92.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
92.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
92.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
92.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
91.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
91.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
91.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
90.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
90.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
90.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
90.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
89.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
89.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
89.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
89.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
88.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
88.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
87.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
87.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
87.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
86.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
86.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
84.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
84.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
84.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
83.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
83.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
82.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
82.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
81.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
80.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
78.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
78.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
78.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
78.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
78.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
78.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
77.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
76.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
76.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
76.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
74.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
74.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
74.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
73.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
73.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
72.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
71.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
71.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
70.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
70.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
69.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
69.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
69.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
69.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
67.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
66.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
65.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
65.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
64.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
64.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
63.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
63.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
61.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
60.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
60.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
59.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
58.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
56.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
55.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
51.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
43.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
42.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
39.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
35.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
33.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
32.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
32.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
31.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
31.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
30.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
25.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
24.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
24.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
24.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
24.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
23.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
22.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
22.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
21.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
21.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
21.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
21.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
21.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
21.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
21.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
20.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
20.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
19.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
19.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
18.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
18.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
18.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
18.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
18.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
17.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
17.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
17.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
17.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
16.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
16.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
16.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
16.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
15.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
15.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
15.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
15.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
14.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
14.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
14.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
14.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
13.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
13.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
12.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
12.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
12.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
11.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
11.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
11.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
11.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
11.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
10.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
10.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
10.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
9.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
9.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
9.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
8.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
8.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
8.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
8.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
8.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
7.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
6.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
6.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
6.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
2.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 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.
CA12 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
24.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
104.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
88.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
60.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
58.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
51.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
47.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
33.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
17.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
16.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
13.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
7.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
7.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
3.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
CA12 is potential prognostic, high expression is unfavorable 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
49.4
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
357.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
218.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
156.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
138.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
137.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
136.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
124.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
124.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
119.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
118.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
116.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
108.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
100.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
100.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
99.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
99.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
99.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
98.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
92.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
90.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
85.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
83.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
81.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
80.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
80.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
77.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
76.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
75.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
74.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
73.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
73.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
71.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
71.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
70.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
67.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
63.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
59.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
57.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
48.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
43.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
38.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
29.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
28.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
28.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
27.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
24.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
24.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
23.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
23.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
21.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
20.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
20.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
19.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
19.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
18.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
18.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
17.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
17.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
16.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
16.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
15.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
14.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
14.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
13.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
13.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
13.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
12.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
12.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
11.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
11.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
10.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
10.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
9.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
8.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
6.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
6.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
6.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
4.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
4.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
3.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
3.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
1.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-2.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.0
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
