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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AFDN 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
49.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
127.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
125.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
120.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
98.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
92.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
87.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
87.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
84.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
79.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
79.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
78.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
78.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
77.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
77.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
77.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
75.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
75.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
75.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
74.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
74.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
72.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
72.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
72.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
71.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
71.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
71.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
71.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
71.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
71.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
70.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
69.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
67.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
66.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
66.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
65.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
65.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
65.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
62.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
62.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
61.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
60.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
59.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
59.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
58.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
57.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
56.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
55.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
55.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
54.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
54.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
54.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
53.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
52.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
50.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
50.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
49.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
49.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
47.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
46.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
45.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
44.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
43.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
43.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
42.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
41.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
40.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
40.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
39.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
37.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
37.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
36.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
36.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
32.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
32.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
31.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
31.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
24.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
24.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
AFDN 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
121.1
Number of samples
486
Samples
Sample
Description
TPM
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
391.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
235.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
226.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
221.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
220.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
217.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
213.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
210.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
208.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
207.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
205.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
204.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
202.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
202.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
201.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
200.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
199.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
194.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
193.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
190.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
189.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
188.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
187.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
186.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
186.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
185.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
184.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
184.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
183.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
182.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
181.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
181.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
177.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
176.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
174.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
174.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
172.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
172.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
172.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
172.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
171.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
171.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
170.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
170.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
169.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
169.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
169.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
168.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
167.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
167.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
167.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
166.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
165.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
165.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
164.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
163.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
161.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
160.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
160.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
160.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
159.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
159.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
159.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
158.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
158.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
158.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
156.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
155.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
155.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
155.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
153.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
153.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
152.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
152.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
152.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
151.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
151.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
151.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
151.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
151.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
150.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
150.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
149.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
149.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
149.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
148.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
148.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
148.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
147.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
147.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
147.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
147.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
147.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
146.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
146.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
145.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
145.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
145.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
144.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
144.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
144.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
144.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
144.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
143.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
143.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
142.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
142.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
142.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
142.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
141.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
141.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
141.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
141.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
141.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
141.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
141.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
141.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
140.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
140.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
139.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
139.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
138.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
138.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
138.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
138.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
138.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
138.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
138.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
137.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
137.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
137.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
137.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
137.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
137.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
137.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
137.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
136.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
136.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
135.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
135.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
135.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
135.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
134.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
134.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
134.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
134.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
134.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
134.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
133.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
133.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
133.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
133.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
133.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
132.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
132.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
132.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
132.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
131.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
131.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
131.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
131.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
131.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
131.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
131.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
130.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
130.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
129.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
129.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
129.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
129.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
129.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
128.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
128.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
128.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
128.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
128.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
127.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
127.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
126.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
126.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
126.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
126.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
126.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
125.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
125.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
125.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
125.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
125.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
124.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
124.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
124.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
123.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
123.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
123.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
123.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
123.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
123.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
123.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
123.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
123.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
123.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
122.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
122.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
122.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
122.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
122.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
122.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
122.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
121.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
121.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
121.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
121.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
121.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
121.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
121.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
120.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
120.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
120.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
120.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
120.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
120.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
119.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
119.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
119.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
119.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
119.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
119.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
119.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
118.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
118.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
118.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
118.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
118.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
118.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
118.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
117.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
117.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
117.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
117.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
117.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
117.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
117.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
117.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
117.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
116.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
115.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
115.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
115.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
115.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
115.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
114.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
114.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
114.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
113.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
113.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
113.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
113.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
113.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
113.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
112.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
112.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
112.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
112.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
112.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
112.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
112.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
112.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
112.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
111.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
111.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
111.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
111.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
110.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
110.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
110.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
110.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
110.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
110.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
110.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
110.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
110.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
109.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
109.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
109.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
109.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
109.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
109.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
108.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
108.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
108.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
107.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
107.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
107.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
107.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
107.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
107.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
107.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
107.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
107.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
107.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
106.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
106.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
106.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
106.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
106.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
106.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
106.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
106.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
106.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
106.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
105.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
105.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
105.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
105.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
104.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
104.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
104.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
104.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
104.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
104.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
104.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
104.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
104.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
104.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
104.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
104.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
104.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
103.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
103.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
103.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
103.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
102.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
102.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
102.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
102.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
101.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
101.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
101.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
100.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
100.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
100.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
100.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
100.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
100.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
100.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
99.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
99.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
99.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
98.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
98.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
97.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
97.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
97.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
97.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
97.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
96.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
96.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
96.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
96.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
96.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
96.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
96.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
95.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
95.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
94.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
94.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
94.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
94.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
94.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
94.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
94.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
93.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
93.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
93.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
93.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
93.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
93.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
92.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
92.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
92.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
92.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
91.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
91.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
91.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
91.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
91.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
90.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
90.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
90.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
90.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
89.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
89.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
88.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
88.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
87.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
87.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
87.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
87.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
86.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
86.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
86.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
85.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
85.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
85.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
85.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
84.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
84.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
84.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
83.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
83.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
82.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
82.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
80.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
80.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
79.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
79.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
79.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
79.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
78.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
77.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
76.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
74.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
74.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
74.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
74.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
73.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
72.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
72.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
72.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
69.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
68.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
66.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
49.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.8
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.
AFDN 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
51.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
111.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
95.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
91.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
88.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
86.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
85.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
85.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
84.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
82.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
80.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
78.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
77.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
73.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
68.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
68.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
66.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
63.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
63.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
63.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
62.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
61.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
59.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
57.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
54.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
53.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
52.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
51.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
48.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
47.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
44.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
41.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
37.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
37.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
31.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
20.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AFDN 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
120.9
Number of samples
207
Samples
Sample
Description
TPM
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
246.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
220.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
206.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
195.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
191.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
189.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
187.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
187.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
184.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
184.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
183.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
183.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
180.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
175.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
173.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
170.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
169.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
168.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
167.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
164.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
163.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
158.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
157.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
156.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
154.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
154.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
154.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
153.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
152.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
152.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
152.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
151.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
151.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
151.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
151.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
150.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
148.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
146.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
145.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
144.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
144.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
144.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
143.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
142.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
142.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
142.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
141.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
141.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
140.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
140.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
139.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
138.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
138.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
137.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
137.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
136.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
136.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
136.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
135.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
134.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
134.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
134.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
134.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
134.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
133.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
133.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
132.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
131.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
130.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
129.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
128.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
128.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
127.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
127.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
127.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
127.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
127.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
127.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
126.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
126.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
125.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
125.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
124.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
124.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
123.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
123.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
123.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
123.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
122.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
122.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
121.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
121.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
120.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
120.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
119.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
118.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
118.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
117.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
117.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
117.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
117.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
117.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
116.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
116.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
115.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
115.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
114.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
114.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
114.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
114.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
113.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
113.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
112.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
112.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
112.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
112.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
111.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
111.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
110.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
110.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
110.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
110.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
110.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
110.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
109.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
109.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
109.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
108.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
108.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
108.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
108.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
107.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
107.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
107.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
107.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
107.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
106.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
106.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
104.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
104.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
103.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
103.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
103.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
102.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
102.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
101.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
101.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
101.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
101.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
101.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
100.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
100.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
100.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
99.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
98.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
98.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
98.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
97.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
97.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
97.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
97.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
96.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
96.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
95.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
95.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
94.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
94.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
93.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
92.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
92.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
90.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
90.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
89.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
85.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
84.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
83.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
82.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
81.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
81.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
81.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
81.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
78.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
77.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
76.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
73.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
72.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
72.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
68.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
65.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
65.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
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Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
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Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
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Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
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Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
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Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
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
