We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ALAS1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
127.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
126.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
99.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
99.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
97.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
95.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
94.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
89.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
79.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
79.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
78.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
76.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
76.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
73.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
73.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
71.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
70.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
69.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
68.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
67.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
67.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
66.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
64.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
63.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
62.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
60.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
60.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
60.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
58.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
58.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
58.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
57.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
57.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
56.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
56.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
56.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
56.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
56.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
53.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
52.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
52.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
52.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
51.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
50.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
50.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
49.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
49.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
48.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
48.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
47.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
46.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
46.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
46.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
46.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
46.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
45.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
45.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
44.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
44.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
44.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
43.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
42.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
41.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
41.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
41.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
40.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
39.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
39.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
39.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
38.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
38.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
36.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
35.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
34.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
34.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
34.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
34.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
34.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
33.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
31.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
30.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
23.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
ALAS1 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
54.6
Number of samples
486
Samples
Sample
Description
TPM
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
164.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
131.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
128.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
126.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
114.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
108.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
107.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
104.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
103.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
102.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
102.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
101.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
97.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
95.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
94.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
94.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
93.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
92.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
91.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
90.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
89.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
89.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
87.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
87.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
83.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
83.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
82.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
82.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
81.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
79.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
79.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
78.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
78.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
78.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
77.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
76.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
76.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
76.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
74.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
70.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
70.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
69.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
69.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
69.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
68.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
68.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
68.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
67.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
66.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
66.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
65.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
65.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
64.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
64.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
64.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
63.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
63.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
63.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
62.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
62.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
62.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
61.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
59.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
58.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
58.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
58.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
57.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
57.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
57.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
56.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
53.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
52.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
50.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
49.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
48.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
45.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
45.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
44.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
43.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
40.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
39.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
39.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
38.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
37.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
34.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
32.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
ALAS1 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
40.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
80.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
80.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
73.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
58.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
58.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
57.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
52.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
50.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
46.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
46.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
45.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
44.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
44.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
42.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
40.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
39.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
38.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
35.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
35.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
32.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ALAS1 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
47.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
125.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
84.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
73.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
72.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
70.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
68.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
67.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
66.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
61.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
61.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
59.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
59.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
58.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
57.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
57.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
54.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
52.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
51.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
50.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
47.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
34.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
33.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
28.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
