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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.
DDX21 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
50.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
138.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
122.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
120.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
107.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
95.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
93.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
89.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
87.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
85.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
84.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
84.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
83.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
83.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
83.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
80.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
80.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
78.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
76.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
75.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
75.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
75.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
74.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
73.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
72.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
72.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
71.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
70.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
69.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
69.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
68.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
68.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
67.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
67.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
67.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
65.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
65.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
64.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
64.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
62.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
61.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
61.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
60.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
59.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
58.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
58.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
57.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
56.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
55.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
55.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
53.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
53.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
53.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
52.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
51.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
51.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
50.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
49.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
48.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
47.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
47.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
46.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
45.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
45.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
44.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
44.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
44.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
43.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
40.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
40.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
40.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
38.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
37.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
37.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
37.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
36.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
34.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
33.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
32.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
29.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
25.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
23.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
DDX21 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
76.4
Number of samples
486
Samples
Sample
Description
TPM
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
198.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
195.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
187.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
164.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
161.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
160.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
157.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
149.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
149.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
148.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
147.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
146.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
138.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
134.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
130.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
129.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
127.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
126.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
125.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
125.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
122.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
122.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
122.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
121.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
121.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
121.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
120.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
120.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
115.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
115.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
114.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
113.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
113.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
113.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
112.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
111.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
111.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
110.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
109.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
108.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
107.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
107.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
107.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
106.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
106.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
106.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
106.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
106.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
106.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
105.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
105.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
104.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
104.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
104.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
104.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
104.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
103.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
103.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
103.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
102.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
102.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
102.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
102.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
102.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
102.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
102.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
102.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
102.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
102.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
101.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
101.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
101.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
100.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
99.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
99.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
99.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
99.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
99.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
98.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
98.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
98.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
98.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
98.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
97.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
97.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
97.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
97.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
95.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
95.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
94.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
94.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
94.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
94.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
94.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
93.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
93.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
93.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
93.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
93.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
92.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
92.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
92.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
92.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
92.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
91.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
91.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
91.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
90.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
90.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
90.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
90.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
90.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
89.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
89.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
88.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
88.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
88.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
88.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
87.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
87.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
87.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
87.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
87.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
87.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
87.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
86.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
86.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
85.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
85.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
85.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
85.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
85.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
85.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
84.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
84.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
84.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
84.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
84.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
84.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
83.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
83.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
83.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
83.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
83.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
83.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
83.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
83.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
83.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
82.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
82.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
82.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
82.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
81.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
81.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
81.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
81.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
80.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
80.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
80.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
80.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
80.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
79.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
79.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
79.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
79.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
79.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
79.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
79.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
79.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
79.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
78.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
78.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
78.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
78.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
78.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
78.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
78.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
78.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
78.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
77.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
77.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
77.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
77.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
77.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
77.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
76.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
76.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
76.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
75.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
75.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
75.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
75.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
75.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
74.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
74.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
73.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
73.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
73.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
73.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
73.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
73.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
73.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
72.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
72.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
72.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
72.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
71.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
71.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
70.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
70.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
69.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
69.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
69.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
69.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
69.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
69.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
68.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
68.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
66.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
66.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
66.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
65.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
64.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
62.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
62.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
62.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
61.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
61.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
61.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
60.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
60.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
60.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
59.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
59.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
59.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
59.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
59.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
58.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
58.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
58.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
57.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
57.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
53.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
52.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
50.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
50.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
48.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
44.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDX21 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
52.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
121.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
121.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
99.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
90.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
88.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
85.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
85.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
83.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
81.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
78.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
78.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
75.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
72.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
72.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
70.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
66.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
64.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
63.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
62.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
62.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
61.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
58.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
57.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
57.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
56.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
53.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
50.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
50.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
50.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
47.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
47.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
44.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
41.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
37.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
36.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
31.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
24.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDX21 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
70.7
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
176.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
153.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
148.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
142.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
135.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
129.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
127.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
120.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
117.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
115.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
114.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
111.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
110.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
109.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
109.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
108.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
104.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
103.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
101.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
96.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
96.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
95.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
93.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
93.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
92.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
92.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
90.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
90.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
90.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
89.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
87.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
86.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
86.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
86.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
84.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
84.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
84.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
84.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
84.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
84.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
83.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
83.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
82.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
82.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
82.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
81.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
81.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
80.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
80.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
80.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
79.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
79.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
79.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
79.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
79.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
78.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
77.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
77.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
76.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
75.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
74.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
73.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
72.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
72.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
72.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
72.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
70.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
69.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
68.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
68.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
68.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
67.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
66.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
65.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
65.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
65.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
65.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
64.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
63.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
61.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
61.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
60.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
60.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
60.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
59.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
59.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
58.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
58.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
58.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
58.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
56.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
54.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
50.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
49.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
48.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
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Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
