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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.
FBP1 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
39.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
174.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
162.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
149.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
120.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
115.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
102.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
99.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
95.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
90.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
87.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
85.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
81.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
77.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
77.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
74.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
71.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
70.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
70.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
69.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
68.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
67.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
65.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
64.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
61.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
60.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
60.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
60.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
59.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
56.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
56.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
55.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
55.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
55.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
54.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
53.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
53.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
53.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
50.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
49.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
49.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
47.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
46.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
45.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
44.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
44.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
44.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
44.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
42.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
39.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
39.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
37.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
35.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
35.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
34.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
33.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
33.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
31.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
30.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
30.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
29.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
29.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
28.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
27.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
25.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
24.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
24.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
22.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
22.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
21.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
20.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
17.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
14.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
13.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
12.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
11.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
9.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
9.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 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.
FBP1 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
34.8
Number of samples
486
Samples
Sample
Description
TPM
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
324.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
178.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
119.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
111.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
109.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
106.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
102.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
98.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
93.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
90.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
86.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
74.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
74.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
72.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
72.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
70.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
68.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
65.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
64.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
63.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
62.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
61.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
60.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
54.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
41.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
40.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
39.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
35.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
35.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
33.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
32.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
32.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
32.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
32.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
31.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
30.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
30.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
30.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
29.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
29.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
29.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
28.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
28.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
28.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
28.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
27.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
27.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
27.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
27.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
27.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
26.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
26.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
26.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
26.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
26.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
26.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
25.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
25.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
25.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
25.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
25.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
25.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
25.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
24.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
24.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
24.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
24.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
24.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
24.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
24.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
24.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
23.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
23.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
23.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
23.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
23.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
23.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
23.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
23.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
23.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
23.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
22.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
22.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
22.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
22.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
22.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
22.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
22.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
22.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
22.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
21.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
21.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
21.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
21.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
21.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
21.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
21.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
21.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
21.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
21.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
21.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
21.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
20.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
20.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
20.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
20.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
20.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
20.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
20.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
20.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
19.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
19.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
19.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
19.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
18.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
18.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
18.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
18.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
18.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
17.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
17.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
17.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
17.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
17.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
17.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
17.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
17.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
17.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
17.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
16.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
16.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
16.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
16.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
16.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
16.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
15.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
15.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
15.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
15.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
15.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
15.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
15.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
15.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
14.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
14.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
14.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
14.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
14.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
14.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
13.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
13.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
12.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
12.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
12.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
12.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
12.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
12.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
11.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
10.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
10.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
10.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
9.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
9.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
9.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
8.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
8.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
7.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
7.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
7.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
7.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
7.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
7.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
7.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
6.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
5.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
5.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
FBP1 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
39.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
110.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
102.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
85.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
73.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
72.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
71.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
70.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
69.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
65.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
59.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
55.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
55.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
54.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
54.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
53.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
51.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
49.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
47.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
46.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
44.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
44.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
39.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
39.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
37.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
35.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
33.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
32.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
30.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
28.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
27.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
18.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
16.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
13.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FBP1 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
31.6
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
122.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
122.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
81.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
69.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
69.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
57.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
55.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
54.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
37.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
32.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
31.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
30.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
29.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
29.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
25.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
25.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
23.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
23.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
22.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
22.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
22.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
21.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
21.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
20.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
20.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
20.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
20.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
19.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
19.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
19.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
19.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
18.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
18.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
18.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
18.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
17.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
17.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
17.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
16.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
16.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
16.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
16.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
15.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
15.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
14.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
14.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
14.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
13.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
13.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
13.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
13.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
13.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
13.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
13.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
12.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
12.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
12.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
12.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
12.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
11.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
11.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
11.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
11.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
10.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
10.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
10.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
9.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
9.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
8.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
8.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
1.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
