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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.
SLC16A1 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
37.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
131.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
103.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
103.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
94.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
94.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
88.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
84.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
76.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
72.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
72.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
71.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
69.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
69.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
68.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
68.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
67.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
65.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
64.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
64.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
63.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
62.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
62.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
61.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
61.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
61.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
61.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
59.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
58.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
58.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
54.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
53.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
52.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
51.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
51.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
51.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
51.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
50.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
50.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
49.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
49.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
48.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
48.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
47.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
46.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
46.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
45.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
44.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
43.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
41.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
41.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
40.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
39.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
38.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
38.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
38.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
37.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
35.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
35.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
33.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
33.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
32.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
30.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
30.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
29.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
28.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
28.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
27.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
26.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
24.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
23.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
22.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
22.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
20.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
20.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
18.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
16.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
5.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 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.
SLC16A1 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
38.4
Number of samples
486
Samples
Sample
Description
TPM
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
99.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
98.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
97.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
96.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
92.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
91.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
89.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
88.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
87.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
85.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
84.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
83.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
83.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
81.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
77.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
77.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
76.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
76.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
76.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
74.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
72.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
72.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
71.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
70.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
70.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
70.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
68.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
63.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
63.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
62.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
59.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
58.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
56.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
54.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
52.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
49.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
45.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
44.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
44.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
44.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
42.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
40.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
39.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
38.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
37.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
36.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
35.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
35.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
34.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
33.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
33.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
33.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
32.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
32.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
31.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
31.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
30.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
29.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
29.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
29.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
28.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
28.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
27.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
27.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
26.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
26.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
26.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
26.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
26.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
26.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
26.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
25.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
25.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
24.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
24.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
23.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
23.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
23.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
23.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
23.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
23.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
23.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
23.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
23.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
22.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
22.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
22.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
22.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
22.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
22.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
21.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
21.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
21.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
20.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
20.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
20.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
20.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
20.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
19.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
19.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
19.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
19.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
18.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
18.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
18.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
17.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
17.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
17.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
17.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
17.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
16.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
16.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
15.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
15.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
15.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
15.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
15.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
15.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
15.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
14.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
14.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
13.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
13.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
13.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
13.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
13.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
13.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
13.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
12.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
12.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
12.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
11.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
11.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
11.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
11.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
11.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
10.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
10.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
10.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
10.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
10.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
9.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
8.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
7.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
7.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
6.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
6.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
6.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
3.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
SLC16A1 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
37.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
123.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
83.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
81.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
78.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
72.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
71.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
64.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
64.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
63.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
56.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
54.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
53.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
52.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
51.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
45.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
41.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
41.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
40.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
39.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
37.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
36.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
34.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
29.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
29.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
16.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
15.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
13.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
10.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC16A1 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
32.5
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
78.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
74.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
73.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
72.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
70.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
66.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
65.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
65.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
55.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
53.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
52.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
52.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
39.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
34.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
28.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
28.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
27.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
27.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
26.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
25.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
24.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
24.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
23.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
23.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
23.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
23.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
22.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
22.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
22.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
21.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
21.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
21.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
20.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
20.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
19.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
19.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
18.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
18.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
18.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
17.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
17.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
17.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
17.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
17.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
16.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
16.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
16.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
16.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
16.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
16.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
16.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
16.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
15.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
15.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
15.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
15.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
14.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
14.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
14.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
13.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
13.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
13.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
13.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
9.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
9.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
8.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
5.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
4.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
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Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
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Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
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Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.8
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
