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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.
SAE1 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
32.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
73.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
69.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
66.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
62.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
49.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
46.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
44.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
43.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
41.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
41.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
41.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
39.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
38.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
38.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
37.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
37.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
37.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
36.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
36.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
36.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
34.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
34.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
33.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
32.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
32.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
31.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
30.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
29.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
29.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
27.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
26.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
26.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
26.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
25.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
25.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
25.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
24.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
23.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
20.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
20.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
20.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
14.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 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.
SAE1 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
37.3
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
139.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
81.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
80.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
77.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
70.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
70.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
56.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
56.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
53.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
47.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
42.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
41.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
41.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
39.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
39.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
37.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
36.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
36.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
35.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
32.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
32.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
32.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
31.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
31.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
31.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
30.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
30.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
30.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
30.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
29.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
29.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
28.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
28.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
28.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
27.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
27.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
27.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
27.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
26.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
25.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
25.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
25.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
25.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
25.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
24.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
24.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
24.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
24.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
24.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
24.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
23.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
23.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
22.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
22.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
22.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
21.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
21.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
20.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
20.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
20.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
20.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
19.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
18.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
17.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
16.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
16.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
16.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
15.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
14.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
14.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
13.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
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.
SAE1 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
30.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
66.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
55.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
46.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
44.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
42.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
40.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
40.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
39.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
36.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
35.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
35.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
34.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
32.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
31.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
28.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
28.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
25.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
24.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
20.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 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.
SAE1 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
31.6
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
62.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
53.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
48.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
40.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
36.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
35.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
34.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
33.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
31.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
30.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
29.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
29.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
29.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
28.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
28.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
27.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
26.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
26.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
25.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
25.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
25.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
25.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
23.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
21.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
21.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
21.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
21.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
21.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
21.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
20.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
19.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
16.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
14.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
5.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
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Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
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Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
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
0.1
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Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
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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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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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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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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Tumor
0.0
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Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
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Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
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
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
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Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
