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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.
HDHD3 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
48.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
102.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
93.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
92.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
92.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
91.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
91.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
90.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
90.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
89.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
86.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
84.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
84.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
82.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
79.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
77.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
76.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
74.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
73.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
73.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
72.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
72.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
71.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
70.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
68.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
68.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
66.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
65.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
65.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
64.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
62.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
62.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
62.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
61.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
60.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
60.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
59.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
59.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
58.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
58.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
57.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
55.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
55.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
54.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
54.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
53.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
52.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
52.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
52.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
52.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
51.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
51.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
51.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
51.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
51.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
50.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
49.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
49.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
48.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
48.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
48.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
47.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
46.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
46.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
46.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
44.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
44.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
44.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
43.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
43.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
43.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
43.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
43.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
41.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
40.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
40.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
39.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
39.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
38.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
38.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
38.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
37.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
36.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
33.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
32.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
31.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
24.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
24.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
24.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
22.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
14.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
HDHD3 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
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
102.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
84.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
81.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
74.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
72.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
71.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
69.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
64.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
63.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
61.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
58.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
53.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
52.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
52.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
49.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
48.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
48.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
47.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
47.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
47.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
46.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
44.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
42.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
40.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
38.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
38.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
38.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
37.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
35.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
34.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
33.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
33.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
32.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
32.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
31.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
31.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
31.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
31.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
31.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
30.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
29.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
29.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
29.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
28.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
28.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
27.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
27.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
27.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
27.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
27.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
27.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
27.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
26.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
26.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
26.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
25.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
25.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
25.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
25.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
24.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
24.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
24.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
24.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
24.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
24.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
23.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
22.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
22.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
22.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
21.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
21.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
21.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
20.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
20.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
20.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
19.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
19.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
19.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
18.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
18.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
17.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
17.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
16.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
14.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
13.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
13.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
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.
HDHD3 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
47.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
105.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
88.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
77.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
76.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
75.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
70.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
68.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
67.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
67.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
66.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
65.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
65.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
63.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
63.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
63.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
62.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
62.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
57.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
57.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
57.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
56.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
56.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
48.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
47.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
47.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
46.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
46.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
42.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
37.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
37.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
35.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
34.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
32.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
31.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
29.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
24.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 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.
HDHD3 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
37.7
Number of samples
207
Samples
Sample
Description
TPM
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
80.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
67.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
65.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
62.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
54.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
54.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
53.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
52.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
51.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
51.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
48.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
47.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
45.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
40.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
38.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
33.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
28.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
28.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
27.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
27.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
26.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
26.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
23.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
22.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
20.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
14.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
14.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
12.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
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Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
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Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
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Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
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
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Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
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Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
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Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
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.