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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FAM83H 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
39.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
108.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
107.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
102.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
98.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
94.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
85.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
84.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
83.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
78.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
77.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
76.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
74.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
72.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
67.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
67.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
66.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
66.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
65.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
63.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
62.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
62.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
60.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
60.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
59.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
57.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
56.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
55.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
54.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
53.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
51.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
50.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
50.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
49.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
48.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
47.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
47.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
47.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
47.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
45.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
45.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
45.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
44.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
44.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
42.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
42.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
41.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
39.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
39.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
39.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
39.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
38.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
38.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
36.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
36.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
36.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
35.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
34.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
33.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
33.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
33.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
33.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
32.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
31.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
30.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
30.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
29.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
28.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
28.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
27.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
27.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
21.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
20.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
20.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
20.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
11.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
8.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
8.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
8.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
FAM83H 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
39.5
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
153.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
140.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
107.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
105.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
104.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
104.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
103.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
102.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
98.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
96.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
89.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
85.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
84.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
83.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
82.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
80.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
80.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
80.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
76.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
74.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
71.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
69.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
68.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
67.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
67.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
66.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
66.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
65.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
61.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
57.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
56.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
55.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
54.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
53.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
52.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
51.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
51.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
50.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
47.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
47.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
45.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
43.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
41.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
40.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
38.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
38.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
37.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
36.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
36.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
36.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
35.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
34.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
34.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
32.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
32.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
32.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
31.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
31.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
30.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
30.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
29.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
29.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
28.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
28.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
28.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
28.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
27.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
27.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
27.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
27.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
27.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
27.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
27.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
26.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
26.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
26.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
26.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
26.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
26.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
25.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
25.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
25.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
25.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
25.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
25.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
25.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
25.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
25.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
25.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
24.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
24.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
24.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
24.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
24.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
23.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
23.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
23.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
23.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
22.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
22.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
22.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
22.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
22.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
21.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
21.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
21.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
21.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
21.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
20.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
20.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
20.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
20.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
20.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
20.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
20.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
19.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
19.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
19.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
19.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
19.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
19.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
18.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
18.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
18.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
18.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
18.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
18.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
17.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
17.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
17.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
17.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
17.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
17.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
17.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
17.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
16.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
16.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
15.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
15.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
15.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
15.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
15.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
15.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
14.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
14.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
14.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
12.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
12.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
12.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
11.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
10.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
10.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
10.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
10.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
9.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
8.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
8.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
8.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
7.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
6.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
5.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
3.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
FAM83H is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
83.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
71.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
70.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
67.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
62.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
61.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
59.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
52.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
46.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
43.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
43.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
41.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
40.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
38.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
38.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
33.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
33.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
27.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
25.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.7
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.
FAM83H 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
36.7
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
117.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
104.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
98.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
97.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
91.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
90.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
81.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
76.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
64.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
61.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
56.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
48.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
44.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
39.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
37.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
36.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
31.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
29.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
28.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
27.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
27.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
26.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
26.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
25.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
25.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
24.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
24.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
24.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
22.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
22.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
22.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
21.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
21.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
20.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
20.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
20.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
20.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
19.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
19.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
19.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
19.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
18.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
18.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
17.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
17.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
17.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
15.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
15.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
14.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
14.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
13.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
13.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
13.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
12.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
12.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
12.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
11.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
10.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
8.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
7.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
7.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
5.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
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Tumor
0.4
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Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
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Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
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Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
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Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.2
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
