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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.
SERINC1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
51.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
128.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
122.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
116.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
111.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
109.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
103.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
102.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
100.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
95.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
93.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
93.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
90.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
86.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
86.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
85.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
83.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
82.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
82.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
81.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
81.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
81.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
80.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
78.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
78.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
77.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
76.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
74.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
73.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
73.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
71.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
70.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
70.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
70.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
69.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
67.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
67.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
66.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
65.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
65.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
65.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
65.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
64.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
64.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
63.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
62.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
62.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
62.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
62.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
60.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
60.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
59.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
59.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
58.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
58.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
57.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
57.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
57.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
56.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
56.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
56.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
54.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
53.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
53.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
52.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
52.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
52.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
52.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
51.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
49.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
49.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
49.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
48.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
48.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
48.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
47.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
46.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
45.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
45.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
44.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
43.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
42.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
42.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
41.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
41.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
40.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
40.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
40.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
38.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
38.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
36.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
35.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
34.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
34.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
34.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
34.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
34.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
33.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
31.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
28.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
27.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
27.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
SERINC1 is potential prognostic, high expression is unfavorable 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
70.0
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
187.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
157.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
137.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
136.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
130.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
126.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
124.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
121.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
121.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
116.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
116.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
114.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
114.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
113.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
111.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
111.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
110.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
110.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
109.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
108.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
108.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
108.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
106.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
105.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
103.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
103.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
103.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
102.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
102.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
100.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
100.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
98.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
97.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
97.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
97.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
95.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
95.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
94.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
93.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
93.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
93.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
93.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
92.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
92.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
91.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
90.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
90.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
89.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
89.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
89.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
89.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
88.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
88.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
87.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
87.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
87.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
86.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
86.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
86.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
86.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
86.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
85.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
85.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
84.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
84.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
84.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
84.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
84.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
83.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
83.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
83.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
82.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
82.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
82.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
82.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
82.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
82.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
81.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
81.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
81.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
80.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
80.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
79.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
79.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
79.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
78.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
78.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
78.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
78.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
78.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
77.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
77.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
77.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
77.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
76.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
76.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
76.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
76.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
76.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
76.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
76.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
75.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
75.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
75.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
74.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
74.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
74.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
74.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
73.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
73.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
73.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
73.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
73.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
73.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
72.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
72.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
72.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
72.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
72.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
72.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
71.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
71.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
70.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
70.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
70.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
70.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
70.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
69.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
69.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
69.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
69.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
69.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
69.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
69.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
68.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
68.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
68.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
68.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
67.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
67.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
67.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
67.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
66.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
66.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
65.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
65.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
64.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
64.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
64.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
64.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
63.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
63.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
63.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
63.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
63.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
63.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
63.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
62.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
62.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
61.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
61.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
60.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
58.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
58.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
58.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
58.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
56.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
55.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
53.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
51.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
51.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
50.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
50.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
47.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
42.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
31.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
29.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
SERINC1 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
56.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
125.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
100.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
98.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
94.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
88.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
88.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
87.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
86.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
84.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
82.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
82.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
81.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
80.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
79.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
75.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
73.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
72.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
72.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
68.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
67.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
66.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
65.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
64.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
64.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
63.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
60.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
60.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
55.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
54.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
54.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
51.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
46.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
45.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
39.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
39.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
36.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
35.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
35.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
33.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
24.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SERINC1 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
66.7
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
179.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
147.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
133.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
132.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
121.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
120.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
116.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
106.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
106.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
105.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
104.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
104.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
103.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
102.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
100.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
99.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
98.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
97.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
97.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
96.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
96.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
93.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
91.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
91.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
89.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
89.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
89.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
88.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
87.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
86.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
86.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
86.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
85.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
85.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
85.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
85.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
85.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
84.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
83.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
83.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
82.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
82.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
78.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
78.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
78.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
77.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
75.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
72.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
71.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
71.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
71.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
71.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
70.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
70.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
69.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
68.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
68.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
66.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
66.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
66.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
65.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
63.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
62.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
62.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
61.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
61.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
59.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
59.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
59.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
58.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
58.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
57.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
57.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
56.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
55.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
53.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
52.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
52.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
41.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
