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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.
TPX2 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
51.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
187.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
168.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
132.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
131.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
127.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
125.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
116.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
114.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
110.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
108.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
98.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
97.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
93.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
90.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
88.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
88.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
87.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
82.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
82.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
82.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
81.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
80.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
80.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
80.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
79.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
78.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
77.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
77.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
76.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
72.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
71.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
71.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
70.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
70.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
69.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
68.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
67.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
67.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
66.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
66.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
66.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
66.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
65.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
64.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
63.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
63.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
62.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
62.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
61.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
60.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
60.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
60.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
59.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
59.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
55.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
55.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
54.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
51.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
50.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
49.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
49.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
49.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
48.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
47.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
46.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
45.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
45.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
45.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
45.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
45.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
44.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
43.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
41.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
41.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
40.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
40.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
40.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
38.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
38.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
37.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
36.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
36.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
35.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
34.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
34.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
34.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
34.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
31.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
27.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
26.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
24.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
22.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
19.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
TPX2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
66.9
Number of samples
486
Samples
Sample
Description
TPM
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
267.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
255.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
229.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
208.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
206.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
193.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
167.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
159.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
159.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
149.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
148.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
147.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
144.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
140.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
140.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
138.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
136.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
136.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
135.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
133.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
133.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
132.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
132.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
131.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
131.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
130.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
126.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
126.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
125.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
124.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
123.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
122.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
122.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
122.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
119.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
119.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
119.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
118.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
117.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
117.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
116.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
114.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
111.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
110.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
110.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
110.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
109.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
106.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
106.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
106.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
106.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
106.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
105.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
105.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
104.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
104.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
103.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
102.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
101.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
101.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
101.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
98.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
98.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
97.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
97.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
96.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
96.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
95.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
95.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
95.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
94.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
93.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
92.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
92.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
91.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
90.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
89.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
89.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
89.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
89.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
89.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
89.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
88.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
88.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
88.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
88.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
88.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
87.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
87.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
87.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
87.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
86.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
86.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
86.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
85.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
84.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
84.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
84.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
83.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
83.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
83.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
83.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
83.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
82.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
82.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
81.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
81.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
80.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
80.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
80.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
80.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
80.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
79.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
79.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
79.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
78.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
78.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
77.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
77.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
77.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
77.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
77.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
76.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
75.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
74.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
74.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
74.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
74.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
74.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
73.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
73.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
72.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
72.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
71.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
71.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
70.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
70.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
70.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
70.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
70.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
69.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
69.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
69.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
69.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
68.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
68.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
67.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
67.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
66.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
65.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
65.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
64.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
64.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
63.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
63.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
62.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
62.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
61.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
61.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
60.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
60.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
59.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
58.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
58.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
58.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
58.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
57.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
57.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
57.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
56.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
55.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
55.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
55.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
55.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
54.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
52.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
51.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
50.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
50.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
46.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
44.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
43.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
37.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
32.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
30.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
27.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
26.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
24.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
24.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
24.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
18.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
14.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
14.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
14.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
7.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPX2 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
55.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
128.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
116.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
105.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
101.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
101.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
97.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
95.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
94.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
89.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
88.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
86.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
86.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
85.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
80.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
79.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
79.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
75.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
75.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
73.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
70.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
70.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
70.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
69.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
67.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
66.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
63.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
56.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
52.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
52.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
45.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
44.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
43.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
39.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
37.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
29.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
19.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
TPX2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
68.0
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
206.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
187.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
180.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
178.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
172.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
166.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
165.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
160.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
151.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
140.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
139.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
138.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
131.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
130.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
127.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
125.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
125.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
124.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
122.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
121.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
120.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
120.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
118.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
118.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
109.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
107.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
106.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
105.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
103.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
103.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
101.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
100.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
99.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
99.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
99.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
98.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
98.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
98.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
98.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
96.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
96.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
95.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
92.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
91.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
91.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
91.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
90.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
88.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
86.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
86.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
85.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
85.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
84.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
84.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
82.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
82.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
81.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
81.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
80.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
80.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
79.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
79.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
79.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
79.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
78.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
78.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
77.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
77.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
77.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
76.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
75.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
75.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
74.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
72.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
72.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
72.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
71.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
70.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
69.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
68.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
67.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
65.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
64.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
64.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
63.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
56.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
56.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
32.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
25.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
25.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
24.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
21.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
16.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
12.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
9.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
6.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
2.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
2.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
2.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
2.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
2.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
2.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.7
82157a70-12f1-4913-b548-d98881_D2
Normal
1.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
1.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
1.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
1.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
1.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
1.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
1.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.8
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-2.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-2.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-2.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-2.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-2.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-2.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-2.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-2.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-2.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-2.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-2.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-2.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-3.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-5.8
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.