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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEC23B 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
53.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
146.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
134.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
128.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
121.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
119.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
118.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
112.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
110.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
108.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
103.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
96.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
93.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
91.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
87.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
86.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
85.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
85.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
84.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
84.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
83.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
82.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
81.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
81.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
79.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
79.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
79.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
79.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
77.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
75.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
75.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
75.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
73.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
73.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
71.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
70.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
70.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
70.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
66.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
66.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
66.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
66.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
65.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
64.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
64.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
63.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
63.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
63.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
63.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
62.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
62.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
62.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
62.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
61.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
60.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
60.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
60.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
59.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
58.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
58.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
58.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
58.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
57.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
57.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
56.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
56.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
55.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
55.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
54.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
52.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
51.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
51.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
50.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
50.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
49.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
49.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
49.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
48.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
48.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
47.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
47.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
46.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
46.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
45.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
42.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
40.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
38.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
36.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
33.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
33.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
29.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
27.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
26.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
21.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
SEC23B 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
61.8
Number of samples
486
Samples
Sample
Description
TPM
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
157.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
140.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
128.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
127.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
123.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
120.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
115.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
111.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
110.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
108.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
105.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
105.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
104.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
103.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
103.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
103.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
102.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
102.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
101.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
99.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
97.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
97.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
97.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
96.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
95.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
94.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
94.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
94.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
94.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
94.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
93.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
93.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
93.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
93.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
93.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
91.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
91.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
90.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
90.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
90.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
90.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
89.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
87.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
87.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
87.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
86.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
85.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
84.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
84.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
84.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
84.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
84.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
83.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
83.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
83.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
82.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
82.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
81.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
81.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
81.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
81.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
81.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
81.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
81.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
81.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
81.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
80.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
80.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
80.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
79.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
79.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
78.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
78.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
78.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
78.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
78.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
76.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
76.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
76.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
76.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
75.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
74.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
74.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
73.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
73.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
73.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
73.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
72.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
72.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
71.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
71.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
71.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
70.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
70.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
70.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
69.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
69.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
68.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
68.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
68.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
68.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
68.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
68.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
68.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
67.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
67.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
67.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
66.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
66.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
66.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
65.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
65.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
64.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
64.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
64.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
64.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
63.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
63.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
63.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
62.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
61.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
60.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
59.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
58.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
58.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
58.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
58.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
58.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
57.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
57.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
57.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
56.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
55.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
53.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
51.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
46.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
34.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
33.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
31.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
30.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
26.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
18.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
SEC23B 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
53.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
195.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
102.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
100.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
98.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
86.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
86.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
86.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
82.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
80.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
78.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
77.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
75.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
75.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
74.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
73.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
68.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
67.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
66.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
66.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
66.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
62.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
61.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
61.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
59.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
58.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
54.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
51.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
51.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
48.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
48.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
43.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
36.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
30.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
30.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEC23B 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
53.3
Number of samples
207
Samples
Sample
Description
TPM
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
113.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
107.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
107.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
100.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
97.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
96.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
93.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
93.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
86.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
86.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
85.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
84.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
82.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
82.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
81.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
79.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
75.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
75.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
74.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
73.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
73.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
72.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
72.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
72.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
71.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
70.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
69.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
68.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
68.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
67.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
66.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
65.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
65.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
64.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
64.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
61.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
60.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
60.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
60.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
57.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
57.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
55.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
55.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
55.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
53.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
50.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
45.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
41.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
40.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
31.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
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Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
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Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
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Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
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
