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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.
SLC44A2 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
45.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
137.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
128.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
113.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
84.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
76.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
76.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
75.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
74.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
74.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
72.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
72.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
70.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
67.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
67.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
66.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
66.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
66.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
66.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
62.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
62.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
62.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
61.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
61.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
61.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
60.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
60.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
60.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
60.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
59.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
59.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
59.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
59.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
57.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
57.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
54.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
53.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
53.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
53.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
52.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
52.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
51.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
51.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
51.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
51.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
49.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
49.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
48.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
48.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
47.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
47.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
46.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
46.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
46.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
45.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
45.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
44.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
44.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
43.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
43.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
42.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
42.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
42.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
42.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
41.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
40.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
39.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
39.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
38.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
36.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
35.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
34.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
33.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
31.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
31.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
30.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
28.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
25.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
25.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
22.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
20.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
15.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
SLC44A2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
66.0
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
121.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
112.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
112.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
109.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
108.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
108.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
107.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
105.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
105.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
104.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
104.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
104.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
101.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
101.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
100.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
99.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
99.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
99.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
99.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
98.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
97.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
97.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
97.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
96.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
91.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
91.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
91.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
90.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
90.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
90.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
90.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
90.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
89.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
89.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
89.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
89.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
89.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
88.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
88.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
88.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
88.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
87.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
87.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
86.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
85.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
85.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
85.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
85.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
85.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
85.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
84.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
83.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
83.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
83.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
83.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
82.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
82.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
82.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
82.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
82.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
82.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
81.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
81.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
81.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
81.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
80.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
80.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
80.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
80.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
79.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
79.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
79.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
79.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
79.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
79.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
78.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
78.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
78.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
78.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
77.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
77.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
77.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
76.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
76.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
76.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
75.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
75.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
74.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
74.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
74.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
74.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
74.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
74.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
74.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
74.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
74.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
73.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
73.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
73.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
72.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
72.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
72.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
72.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
72.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
72.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
72.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
71.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
71.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
71.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
71.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
71.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
71.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
71.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
71.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
71.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
70.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
70.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
70.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
70.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
70.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
70.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
69.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
69.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
69.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
69.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
69.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
69.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
69.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
69.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
69.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
69.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
68.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
68.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
68.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
68.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
68.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
67.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
67.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
67.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
67.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
67.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
66.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
66.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
66.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
66.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
66.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
65.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
64.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
63.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
63.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
62.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
62.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
62.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
61.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
61.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
60.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
59.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
59.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
59.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
59.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
58.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
58.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
58.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
57.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
57.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
56.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
55.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
52.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
52.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
51.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
51.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
51.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
42.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
36.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
30.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
SLC44A2 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
44.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
98.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
75.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
74.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
74.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
70.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
69.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
67.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
63.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
62.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
60.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
57.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
54.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
52.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
51.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
51.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
50.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
47.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
47.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
46.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
43.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
42.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
33.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
31.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
31.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
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.
SLC44A2 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
62.5
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
117.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
99.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
97.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
97.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
94.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
90.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
87.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
86.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
86.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
86.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
86.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
85.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
85.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
85.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
85.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
83.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
82.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
82.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
82.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
82.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
82.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
81.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
80.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
80.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
79.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
78.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
78.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
77.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
77.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
77.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
77.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
77.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
76.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
73.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
73.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
73.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
71.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
71.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
71.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
70.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
68.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
67.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
66.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
66.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
65.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
65.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
65.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
65.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
64.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
63.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
62.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
62.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
61.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
61.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
60.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
59.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
59.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
57.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
56.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
55.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
54.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
53.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
50.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
45.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
1.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.4
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
