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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.
IST1 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
55.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
148.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
143.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
106.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
96.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
95.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
95.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
94.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
93.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
92.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
91.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
90.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
90.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
87.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
86.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
84.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
84.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
84.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
83.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
81.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
81.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
80.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
79.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
79.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
79.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
79.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
78.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
78.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
78.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
78.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
77.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
76.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
75.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
75.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
73.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
71.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
71.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
70.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
70.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
69.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
69.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
69.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
67.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
67.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
66.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
66.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
66.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
66.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
65.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
65.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
65.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
64.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
64.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
64.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
63.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
63.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
61.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
60.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
60.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
59.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
58.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
58.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
58.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
57.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
56.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
56.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
55.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
55.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
54.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
53.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
53.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
53.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
53.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
52.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
52.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
52.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
50.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
49.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
49.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
48.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
48.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
48.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
46.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
45.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
45.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
45.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
44.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
44.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
44.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
43.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
42.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
41.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
38.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
38.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
36.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
33.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
32.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
31.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
30.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
29.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
26.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
IST1 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
51.9
Number of samples
486
Samples
Sample
Description
TPM
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
106.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
87.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
85.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
80.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
77.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
74.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
73.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
72.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
71.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
71.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
70.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
70.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
69.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
68.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
67.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
67.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
66.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
65.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
64.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
64.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
63.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
63.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
63.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
63.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
62.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
62.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
62.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
62.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
62.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
62.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
61.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
60.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
59.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
59.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
59.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
59.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
59.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
59.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
58.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
57.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
57.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
57.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
56.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
56.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
55.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
55.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
55.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
54.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
54.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
53.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
52.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
52.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
52.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
51.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
51.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
50.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
50.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
48.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
48.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
45.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
45.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
43.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
38.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
37.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
35.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IST1 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
55.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
101.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
84.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
80.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
80.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
80.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
78.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
78.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
77.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
76.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
74.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
74.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
72.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
68.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
68.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
65.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
65.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
64.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
60.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
59.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
59.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
59.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
58.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
57.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
57.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
53.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
51.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
51.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
51.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
49.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
48.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
32.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.9
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.
IST1 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
49.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
82.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
79.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
79.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
76.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
75.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
74.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
71.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
70.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
69.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
64.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
63.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
61.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
60.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
55.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
52.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
52.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
52.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
48.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
48.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
45.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
45.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
30.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
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
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
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Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.