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.
NFIX 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
33.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
74.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
72.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
68.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
63.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
62.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
57.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
57.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
55.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
54.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
53.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
53.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
49.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
49.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
48.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
47.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
46.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
45.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
45.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
42.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
42.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
41.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
41.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
41.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
41.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
40.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
40.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
38.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
38.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
37.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
37.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
36.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
36.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
34.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
33.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
33.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
33.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
32.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
30.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
28.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
24.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
24.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
23.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
23.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
20.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
19.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
19.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
18.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
17.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
17.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
16.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
16.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
NFIX 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
72.6
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
196.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
176.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
152.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
134.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
133.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
131.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
130.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
129.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
126.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
125.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
124.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
124.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
121.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
121.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
121.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
120.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
119.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
117.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
117.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
116.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
116.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
115.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
115.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
114.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
114.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
114.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
113.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
112.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
112.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
111.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
111.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
111.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
111.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
111.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
110.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
110.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
109.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
109.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
109.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
108.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
107.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
107.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
104.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
104.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
103.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
103.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
103.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
103.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
102.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
102.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
101.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
101.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
100.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
100.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
99.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
99.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
99.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
98.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
98.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
98.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
96.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
96.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
96.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
96.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
95.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
95.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
95.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
95.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
95.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
95.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
95.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
95.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
95.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
95.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
94.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
94.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
94.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
93.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
93.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
93.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
92.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
92.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
92.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
90.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
90.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
90.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
90.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
90.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
90.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
90.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
89.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
89.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
89.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
89.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
89.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
89.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
88.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
88.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
88.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
88.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
87.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
87.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
86.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
86.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
86.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
86.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
86.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
86.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
85.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
85.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
85.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
85.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
85.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
85.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
84.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
84.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
83.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
83.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
83.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
83.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
83.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
83.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
82.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
82.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
82.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
82.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
82.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
81.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
81.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
81.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
81.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
81.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
81.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
81.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
80.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
80.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
80.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
80.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
79.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
79.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
79.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
79.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
79.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
79.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
79.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
78.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
77.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
77.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
77.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
77.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
77.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
77.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
76.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
76.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
76.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
75.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
75.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
75.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
75.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
75.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
75.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
74.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
74.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
74.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
74.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
74.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
74.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
74.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
73.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
73.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
72.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
72.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
72.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
72.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
71.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
71.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
71.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
71.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
71.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
70.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
70.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
69.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
69.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
68.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
67.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
67.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
66.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
66.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
66.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
66.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
66.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
65.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
65.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
64.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
64.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
64.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
64.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
62.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
62.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
61.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
60.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
59.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
59.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
59.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
59.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
58.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
57.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
56.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
56.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
55.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
35.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
33.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
26.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
19.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFIX 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
35.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
55.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
52.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
52.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
50.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
48.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
43.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
41.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
38.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
38.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
37.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
35.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
33.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
32.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
30.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
26.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
23.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
22.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
21.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
11.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NFIX is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
76.6
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
169.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
138.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
138.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
134.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
134.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
130.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
129.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
127.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
121.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
119.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
119.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
114.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
114.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
113.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
111.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
109.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
109.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
108.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
106.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
105.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
104.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
103.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
102.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
102.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
102.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
101.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
101.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
101.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
100.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
100.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
99.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
99.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
99.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
98.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
98.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
98.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
97.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
97.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
97.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
97.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
96.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
96.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
95.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
94.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
93.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
93.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
93.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
92.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
91.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
90.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
90.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
88.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
88.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
87.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
86.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
85.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
84.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
84.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
84.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
84.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
83.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
83.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
83.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
83.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
82.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
81.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
81.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
80.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
80.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
80.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
79.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
79.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
79.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
78.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
78.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
77.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
77.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
77.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
76.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
76.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
76.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
76.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
76.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
74.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
74.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
73.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
73.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
73.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
71.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
71.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
71.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
71.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
70.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
69.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
69.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
68.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
68.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
67.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
67.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
66.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
66.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
65.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
65.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
65.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
64.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
59.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
59.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
59.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
58.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
56.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
55.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
55.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
54.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
44.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
