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.
MACF1 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
32.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
83.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
73.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
67.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
66.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
64.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
58.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
56.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
55.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
54.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
53.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
52.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
51.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
48.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
47.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
46.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
45.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
45.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
42.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
41.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
40.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
40.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
39.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
38.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
37.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
37.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
35.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
35.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
35.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
34.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
33.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
33.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
32.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
32.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
31.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
31.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
29.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
28.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
28.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
27.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
27.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
26.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
26.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
25.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
25.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
24.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
23.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
22.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
20.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
20.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
20.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
20.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
19.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
16.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
13.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
MACF1 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
64.3
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
236.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
175.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
175.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
142.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
142.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
137.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
132.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
131.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
126.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
122.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
118.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
118.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
117.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
115.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
114.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
111.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
111.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
108.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
108.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
108.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
105.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
103.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
102.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
101.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
101.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
99.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
97.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
97.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
97.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
96.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
96.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
96.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
96.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
95.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
94.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
93.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
91.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
91.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
90.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
90.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
90.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
89.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
89.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
89.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
89.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
88.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
88.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
88.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
88.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
87.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
87.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
86.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
86.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
84.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
84.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
84.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
83.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
83.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
83.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
83.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
82.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
82.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
82.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
81.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
81.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
80.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
79.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
79.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
79.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
79.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
78.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
78.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
78.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
78.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
77.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
77.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
76.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
76.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
75.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
75.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
75.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
73.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
73.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
73.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
73.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
73.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
72.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
72.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
72.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
72.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
72.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
71.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
70.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
70.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
69.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
69.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
69.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
68.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
68.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
68.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
68.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
68.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
68.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
68.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
68.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
67.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
67.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
67.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
67.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
67.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
66.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
66.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
66.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
65.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
64.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
64.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
63.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
63.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
62.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
62.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
62.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
61.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
60.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
60.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
60.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
60.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
60.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
59.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
59.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
58.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
57.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
56.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
55.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
55.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
54.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
54.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
52.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
50.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
50.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
50.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
50.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
49.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
45.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
44.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
42.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
40.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
MACF1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
30.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
67.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
57.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
56.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
50.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
44.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
41.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
40.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
38.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
36.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
29.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
27.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
25.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
23.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
22.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
21.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
18.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
MACF1 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
59.4
Number of samples
207
Samples
Sample
Description
TPM
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
212.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
180.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
120.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
118.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
109.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
108.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
104.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
102.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
96.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
95.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
93.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
93.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
90.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
88.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
88.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
83.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
83.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
82.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
81.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
79.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
79.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
79.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
76.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
75.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
74.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
74.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
73.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
73.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
72.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
72.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
71.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
71.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
70.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
70.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
70.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
69.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
69.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
69.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
66.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
65.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
63.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
60.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
59.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
57.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
55.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
44.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
42.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
