We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POF1B 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
54.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
168.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
146.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
135.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
134.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
126.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
122.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
119.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
111.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
106.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
105.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
104.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
102.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
102.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
101.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
101.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
100.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
99.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
97.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
96.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
93.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
93.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
91.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
91.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
90.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
90.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
89.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
89.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
88.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
87.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
84.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
83.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
83.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
83.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
83.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
82.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
82.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
81.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
79.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
79.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
78.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
77.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
77.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
77.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
76.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
75.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
74.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
73.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
72.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
70.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
67.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
67.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
67.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
67.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
65.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
65.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
65.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
64.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
64.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
64.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
63.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
63.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
63.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
62.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
62.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
62.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
59.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
59.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
58.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
57.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
57.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
56.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
56.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
56.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
55.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
55.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
55.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
53.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
50.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
47.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
47.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
45.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
44.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
44.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
44.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
44.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
44.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
42.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
38.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
37.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
37.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
36.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
34.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
33.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
33.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
32.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
31.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
29.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
27.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
27.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
25.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
25.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
24.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
22.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
20.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
19.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
POF1B 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
142.3
Number of samples
486
Samples
Sample
Description
TPM
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
406.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
402.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
365.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
360.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
340.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
338.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
338.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
317.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
316.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
314.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
306.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
299.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
298.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
297.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
289.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
283.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
277.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
272.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
268.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
268.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
267.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
265.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
258.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
258.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
255.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
249.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
249.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
248.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
244.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
243.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
237.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
237.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
237.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
236.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
235.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
235.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
232.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
230.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
230.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
228.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
228.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
228.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
227.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
226.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
226.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
225.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
225.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
225.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
224.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
224.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
224.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
220.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
219.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
216.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
215.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
215.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
214.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
214.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
213.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
211.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
211.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
210.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
207.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
207.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
207.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
205.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
203.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
203.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
203.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
202.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
201.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
201.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
200.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
199.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
199.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
199.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
199.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
197.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
196.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
196.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
196.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
195.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
195.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
194.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
194.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
193.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
191.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
191.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
191.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
191.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
190.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
190.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
190.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
187.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
187.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
186.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
185.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
185.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
184.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
184.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
183.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
183.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
183.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
182.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
182.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
182.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
182.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
181.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
181.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
181.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
180.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
180.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
180.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
180.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
180.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
179.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
179.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
179.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
179.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
179.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
179.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
178.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
177.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
177.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
177.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
176.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
175.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
175.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
175.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
175.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
174.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
174.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
174.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
174.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
173.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
172.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
172.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
171.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
171.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
170.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
170.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
170.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
169.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
169.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
169.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
168.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
168.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
168.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
168.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
168.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
167.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
167.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
167.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
167.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
164.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
163.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
163.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
163.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
162.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
162.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
162.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
161.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
161.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
161.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
161.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
161.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
160.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
160.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
160.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
159.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
159.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
159.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
159.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
158.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
158.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
157.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
156.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
154.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
154.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
154.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
153.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
152.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
152.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
152.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
151.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
151.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
151.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
151.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
150.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
150.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
150.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
150.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
149.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
149.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
148.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
148.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
147.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
147.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
147.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
147.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
146.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
146.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
145.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
145.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
145.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
145.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
144.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
144.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
143.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
142.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
142.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
142.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
142.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
141.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
141.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
141.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
141.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
141.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
141.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
140.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
140.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
140.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
139.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
138.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
138.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
138.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
138.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
138.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
137.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
137.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
137.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
137.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
136.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
136.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
136.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
136.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
135.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
135.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
134.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
134.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
134.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
132.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
132.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
131.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
131.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
131.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
130.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
130.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
130.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
130.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
129.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
129.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
129.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
129.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
129.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
129.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
128.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
128.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
128.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
128.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
127.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
127.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
126.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
126.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
125.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
125.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
124.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
124.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
124.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
124.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
123.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
122.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
122.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
122.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
122.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
122.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
121.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
121.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
121.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
121.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
121.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
120.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
120.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
120.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
119.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
119.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
119.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
118.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
117.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
117.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
117.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
117.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
117.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
117.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
117.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
116.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
115.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
114.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
114.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
114.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
113.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
113.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
113.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
113.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
113.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
112.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
112.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
112.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
112.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
112.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
111.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
111.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
111.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
110.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
110.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
110.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
110.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
110.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
110.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
109.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
109.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
109.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
109.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
108.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
108.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
108.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
108.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
108.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
107.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
107.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
107.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
107.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
107.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
107.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
106.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
106.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
105.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
105.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
105.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
105.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
105.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
105.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
104.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
103.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
103.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
102.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
102.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
101.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
101.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
101.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
100.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
100.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
100.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
99.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
99.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
99.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
98.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
97.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
97.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
97.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
97.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
97.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
96.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
96.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
96.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
96.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
96.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
96.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
96.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
95.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
95.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
94.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
94.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
94.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
94.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
94.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
93.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
93.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
93.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
93.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
92.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
92.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
92.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
91.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
91.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
90.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
90.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
89.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
89.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
89.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
88.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
88.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
88.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
88.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
87.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
85.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
85.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
83.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
82.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
82.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
82.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
81.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
81.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
80.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
80.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
80.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
78.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
78.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
75.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
75.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
74.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
74.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
74.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
73.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
72.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
70.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
69.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
66.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
56.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
53.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
52.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
26.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
22.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
19.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
15.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
14.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
6.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POF1B 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
59.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
224.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
155.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
146.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
145.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
139.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
106.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
105.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
103.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
102.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
101.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
100.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
96.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
84.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
84.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
81.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
77.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
75.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
72.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
67.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
67.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
66.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
65.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
65.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
63.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
61.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
61.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
59.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
54.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
51.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
50.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
50.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
34.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
29.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
26.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.4
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.
POF1B 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
131.3
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
300.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
287.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
287.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
269.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
267.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
267.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
261.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
259.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
258.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
251.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
241.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
234.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
229.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
227.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
224.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
221.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
220.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
220.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
219.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
218.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
216.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
213.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
213.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
210.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
209.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
208.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
208.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
205.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
204.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
202.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
197.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
197.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
195.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
195.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
194.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
193.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
191.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
190.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
186.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
184.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
183.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
183.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
183.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
178.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
177.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
173.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
173.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
171.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
170.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
169.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
167.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
166.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
166.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
165.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
163.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
163.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
162.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
161.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
161.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
160.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
157.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
156.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
154.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
154.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
153.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
152.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
152.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
152.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
151.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
148.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
147.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
146.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
144.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
143.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
142.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
142.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
142.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
139.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
138.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
136.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
136.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
135.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
134.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
134.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
134.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
134.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
131.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
131.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
130.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
129.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
128.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
128.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
127.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
127.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
127.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
127.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
125.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
125.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
124.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
124.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
123.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
123.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
123.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
122.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
121.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
120.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
120.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
119.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
119.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
118.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
118.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
117.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
117.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
116.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
116.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
116.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
114.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
113.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
113.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
110.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
110.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
110.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
109.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
109.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
108.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
107.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
107.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
107.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
105.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
104.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
104.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
103.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
102.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
100.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
100.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
100.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
98.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
98.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
98.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
98.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
96.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
95.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
95.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
94.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
93.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
93.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
93.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
92.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
92.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
87.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
87.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
82.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
81.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
80.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
80.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
77.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
77.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
76.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
76.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
74.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
73.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
71.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
71.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
70.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
67.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
64.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
63.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
48.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
48.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
27.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
