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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.
TDP2 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
55.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
183.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
181.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
171.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
142.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
131.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
122.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
119.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
115.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
112.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
112.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
110.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
108.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
106.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
106.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
106.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
105.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
102.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
102.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
102.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
100.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
100.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
99.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
97.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
97.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
95.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
95.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
93.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
93.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
93.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
91.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
88.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
88.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
87.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
86.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
85.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
83.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
83.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
80.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
78.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
77.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
76.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
76.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
74.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
73.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
71.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
70.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
69.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
69.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
67.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
66.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
66.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
66.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
66.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
65.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
62.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
61.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
61.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
60.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
60.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
59.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
59.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
59.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
59.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
59.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
58.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
58.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
56.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
56.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
55.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
55.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
54.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
53.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
53.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
53.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
51.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
51.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
51.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
51.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
50.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
50.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
49.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
47.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
46.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
46.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
45.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
43.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
42.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
41.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
40.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
40.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
40.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
38.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
31.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
31.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
31.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
26.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
25.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
25.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
23.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
21.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
16.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
TDP2 is potential prognostic, high expression is favorable 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
43.4
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
207.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
148.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
113.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
109.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
107.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
106.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
102.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
96.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
93.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
92.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
90.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
90.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
86.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
85.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
85.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
85.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
83.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
82.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
82.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
80.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
80.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
78.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
77.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
76.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
76.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
74.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
73.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
72.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
72.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
71.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
71.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
70.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
70.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
70.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
70.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
69.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
69.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
68.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
67.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
67.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
66.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
65.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
64.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
63.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
61.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
61.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
57.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
55.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
55.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
55.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
50.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
48.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
47.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
45.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
45.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
44.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
44.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
38.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
35.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
35.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
33.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
32.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
31.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
31.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
31.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
31.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
31.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
30.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
30.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
29.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
29.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
29.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
28.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
28.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
28.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
28.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
28.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
28.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
28.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
27.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
27.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
27.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
27.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
27.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
27.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
27.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
26.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
26.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
26.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
26.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
26.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
25.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
25.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
25.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
25.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
25.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
25.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
25.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
24.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
24.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
24.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
23.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
23.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
23.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
22.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
22.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
22.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
22.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
21.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
21.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
21.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
21.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
21.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
21.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
20.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
20.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
20.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
20.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
19.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
19.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
19.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
19.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
18.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
18.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
18.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
18.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
17.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
17.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
17.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
15.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
15.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
13.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
12.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
12.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
10.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TDP2 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
57.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
137.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
127.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
116.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
107.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
103.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
99.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
98.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
98.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
92.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
88.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
81.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
81.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
79.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
79.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
79.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
77.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
76.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
76.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
73.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
73.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
72.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
70.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
68.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
67.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
66.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
66.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
65.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
64.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
61.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
60.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
59.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
57.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
57.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
51.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
47.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
45.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
43.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
43.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
42.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
41.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
35.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
35.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
34.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
28.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
TDP2 is potential prognostic, high expression is unfavorable 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
43.7
Number of samples
207
Samples
Sample
Description
TPM
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
119.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
107.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
106.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
104.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
101.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
86.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
84.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
80.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
78.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
77.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
76.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
76.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
75.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
74.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
72.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
71.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
66.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
64.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
60.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
58.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
58.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
52.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
47.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
40.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
31.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
28.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
26.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
26.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
25.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
21.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
21.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
21.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
19.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
19.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
18.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
17.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
15.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
13.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.1
b2400046-1d25-429d-a821-6040a6
Tumor
1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
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
