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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.
RAB11FIP1 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
51.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
176.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
168.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
137.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
136.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
132.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
122.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
122.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
118.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
116.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
110.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
109.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
109.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
103.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
102.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
102.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
102.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
97.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
92.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
92.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
87.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
86.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
85.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
85.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
83.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
82.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
82.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
79.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
79.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
79.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
78.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
78.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
76.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
76.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
76.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
75.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
75.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
75.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
73.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
73.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
72.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
71.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
65.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
65.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
65.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
63.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
63.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
62.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
62.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
62.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
62.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
61.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
60.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
59.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
59.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
58.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
57.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
56.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
56.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
54.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
54.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
52.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
52.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
49.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
48.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
47.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
47.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
46.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
45.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
45.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
42.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
41.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
40.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
39.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
39.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
39.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
39.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
38.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
38.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
36.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
36.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
35.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
35.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
28.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
28.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
26.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
25.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
24.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
20.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
15.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB11FIP1 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
108.1
Number of samples
486
Samples
Sample
Description
TPM
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
352.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
350.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
300.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
288.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
263.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
261.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
259.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
246.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
244.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
244.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
239.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
239.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
224.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
222.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
222.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
221.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
218.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
217.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
213.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
208.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
206.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
204.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
202.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
200.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
198.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
190.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
190.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
189.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
188.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
188.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
187.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
186.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
185.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
184.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
184.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
183.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
182.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
182.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
181.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
177.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
177.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
176.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
176.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
176.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
175.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
175.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
175.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
174.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
174.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
173.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
172.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
171.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
170.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
168.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
167.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
167.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
167.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
166.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
166.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
164.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
163.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
163.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
162.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
162.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
160.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
159.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
157.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
157.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
156.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
156.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
156.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
155.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
155.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
154.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
154.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
154.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
154.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
154.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
152.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
152.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
152.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
151.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
149.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
148.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
148.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
147.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
146.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
145.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
144.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
144.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
144.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
142.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
142.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
142.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
141.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
141.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
141.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
141.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
140.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
140.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
140.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
140.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
139.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
138.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
137.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
137.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
135.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
134.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
134.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
134.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
134.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
133.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
132.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
131.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
131.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
131.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
131.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
130.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
129.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
129.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
128.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
128.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
127.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
127.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
127.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
127.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
127.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
126.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
126.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
125.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
125.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
125.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
125.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
124.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
124.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
123.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
123.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
122.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
122.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
121.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
121.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
120.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
120.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
120.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
120.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
119.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
119.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
119.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
118.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
118.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
118.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
118.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
117.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
117.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
117.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
117.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
117.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
117.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
116.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
116.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
116.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
116.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
115.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
115.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
115.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
115.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
114.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
114.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
114.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
114.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
114.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
113.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
113.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
113.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
113.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
113.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
112.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
112.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
111.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
111.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
111.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
110.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
110.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
110.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
110.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
110.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
110.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
110.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
109.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
109.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
109.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
108.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
108.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
108.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
108.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
108.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
107.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
107.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
107.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
107.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
106.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
106.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
106.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
106.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
106.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
106.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
106.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
106.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
104.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
104.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
104.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
104.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
104.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
104.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
103.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
103.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
102.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
102.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
102.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
102.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
102.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
102.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
101.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
101.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
101.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
101.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
101.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
101.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
101.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
100.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
100.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
100.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
100.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
100.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
100.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
100.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
99.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
99.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
99.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
99.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
98.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
98.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
98.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
98.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
97.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
97.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
97.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
97.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
96.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
96.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
96.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
95.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
95.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
95.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
95.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
95.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
95.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
95.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
94.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
94.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
94.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
94.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
93.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
93.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
93.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
93.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
93.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
92.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
92.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
92.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
92.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
92.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
92.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
92.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
92.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
91.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
91.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
91.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
91.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
90.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
90.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
90.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
89.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
89.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
89.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
89.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
88.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
88.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
88.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
88.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
88.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
88.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
88.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
88.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
87.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
87.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
87.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
87.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
87.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
87.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
86.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
86.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
86.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
86.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
86.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
85.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
84.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
84.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
84.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
84.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
83.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
83.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
83.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
82.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
82.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
82.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
81.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
81.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
81.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
80.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
79.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
79.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
78.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
78.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
78.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
77.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
77.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
77.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
77.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
77.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
76.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
76.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
75.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
75.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
75.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
74.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
74.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
74.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
73.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
73.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
72.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
70.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
70.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
69.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
69.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
69.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
68.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
68.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
68.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
67.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
66.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
65.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
65.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
65.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
63.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
62.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
62.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
61.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
60.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
59.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
59.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
58.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
53.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
52.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
50.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
49.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
48.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
47.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
43.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
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.
RAB11FIP1 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
49.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
131.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
127.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
115.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
111.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
99.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
98.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
95.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
88.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
75.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
73.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
73.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
73.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
72.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
71.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
69.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
66.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
65.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
65.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
58.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
58.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
57.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
55.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
54.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
52.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
48.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
43.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
38.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
29.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
26.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
22.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB11FIP1 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
92.5
Number of samples
207
Samples
Sample
Description
TPM
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
394.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
390.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
340.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
321.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
278.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
203.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
190.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
188.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
187.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
171.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
165.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
165.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
164.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
162.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
162.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
160.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
159.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
148.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
143.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
141.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
140.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
137.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
133.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
130.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
129.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
128.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
127.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
127.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
126.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
126.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
125.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
125.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
125.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
125.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
123.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
122.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
121.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
120.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
120.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
119.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
118.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
118.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
118.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
117.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
116.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
115.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
113.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
112.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
111.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
110.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
110.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
110.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
109.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
108.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
107.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
105.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
105.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
105.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
104.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
103.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
103.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
101.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
100.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
100.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
100.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
100.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
99.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
99.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
98.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
98.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
97.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
97.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
96.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
95.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
94.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
93.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
92.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
92.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
92.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
91.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
91.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
91.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
91.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
89.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
89.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
88.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
88.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
88.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
87.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
85.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
84.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
84.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
83.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
82.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
82.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
81.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
81.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
81.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
80.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
80.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
80.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
80.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
79.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
78.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
78.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
78.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
77.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
77.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
75.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
75.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
74.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
74.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
73.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
73.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
72.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
70.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
70.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
70.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
69.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
69.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
68.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
67.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
67.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
64.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
64.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
62.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
62.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
62.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
60.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
57.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
57.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
54.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
51.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
42.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
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
