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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.
CNOT1 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
69.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
175.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
169.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
162.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
161.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
154.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
153.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
151.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
149.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
147.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
146.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
141.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
132.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
120.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
119.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
119.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
119.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
117.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
116.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
112.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
112.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
112.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
111.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
104.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
102.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
102.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
102.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
101.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
101.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
100.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
100.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
100.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
100.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
100.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
98.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
97.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
97.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
97.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
96.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
95.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
95.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
95.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
94.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
94.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
94.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
94.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
93.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
93.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
92.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
91.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
91.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
90.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
90.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
89.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
88.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
88.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
88.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
85.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
85.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
85.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
84.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
84.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
83.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
83.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
82.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
82.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
82.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
82.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
81.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
80.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
80.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
80.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
80.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
79.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
79.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
79.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
78.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
78.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
78.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
78.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
78.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
78.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
78.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
77.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
77.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
77.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
77.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
77.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
76.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
76.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
75.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
75.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
74.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
74.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
73.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
71.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
71.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
70.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
70.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
70.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
69.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
69.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
67.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
66.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
65.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
65.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
64.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
64.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
64.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
63.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
62.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
62.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
62.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
61.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
61.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
61.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
60.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
60.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
60.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
58.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
57.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
56.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
56.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
56.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
55.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
55.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
54.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
54.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
53.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
52.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
52.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
51.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
49.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
49.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
47.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
45.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
45.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
43.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
41.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
41.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
38.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
36.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
36.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
34.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
33.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
CNOT1 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
176.9
Number of samples
486
Samples
Sample
Description
TPM
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
362.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
322.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
306.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
305.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
298.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
290.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
287.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
286.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
278.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
275.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
270.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
267.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
266.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
266.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
266.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
262.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
261.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
259.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
258.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
256.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
255.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
255.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
255.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
254.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
253.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
253.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
251.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
250.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
248.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
247.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
245.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
244.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
244.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
244.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
243.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
243.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
242.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
241.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
240.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
239.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
239.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
238.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
237.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
236.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
235.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
235.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
235.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
235.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
234.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
234.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
233.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
233.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
233.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
233.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
233.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
233.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
232.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
232.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
231.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
230.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
229.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
229.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
227.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
227.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
227.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
226.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
225.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
224.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
224.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
224.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
223.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
223.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
222.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
221.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
221.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
221.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
220.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
220.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
219.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
219.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
217.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
216.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
216.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
216.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
216.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
214.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
214.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
213.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
213.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
213.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
212.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
212.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
212.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
212.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
212.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
212.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
211.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
211.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
209.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
209.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
209.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
209.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
209.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
208.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
207.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
207.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
207.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
207.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
207.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
206.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
206.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
206.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
206.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
205.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
205.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
205.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
205.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
205.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
205.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
204.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
204.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
204.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
203.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
203.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
203.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
202.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
202.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
201.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
201.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
200.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
199.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
199.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
199.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
199.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
198.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
198.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
198.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
198.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
198.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
198.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
198.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
198.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
198.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
198.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
197.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
197.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
196.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
196.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
195.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
195.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
195.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
194.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
194.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
194.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
193.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
193.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
193.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
192.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
192.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
192.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
192.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
191.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
191.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
191.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
191.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
191.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
190.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
190.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
190.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
189.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
189.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
189.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
188.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
188.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
188.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
187.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
187.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
186.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
186.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
186.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
186.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
186.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
185.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
185.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
185.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
185.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
184.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
184.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
183.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
183.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
183.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
183.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
183.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
182.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
182.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
182.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
182.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
182.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
182.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
181.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
181.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
181.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
181.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
180.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
180.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
180.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
179.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
179.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
179.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
179.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
179.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
178.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
178.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
177.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
177.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
177.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
176.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
176.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
176.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
176.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
176.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
176.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
176.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
176.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
175.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
175.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
175.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
175.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
175.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
175.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
174.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
174.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
174.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
174.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
173.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
173.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
173.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
173.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
173.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
172.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
172.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
172.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
172.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
172.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
172.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
171.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
171.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
171.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
171.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
170.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
170.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
170.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
170.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
169.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
169.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
169.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
169.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
169.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
169.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
169.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
168.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
168.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
168.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
168.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
168.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
168.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
168.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
167.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
167.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
167.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
166.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
166.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
166.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
166.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
166.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
166.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
165.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
165.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
164.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
164.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
164.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
163.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
163.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
163.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
163.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
163.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
163.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
163.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
163.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
163.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
162.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
162.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
162.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
162.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
161.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
161.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
161.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
161.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
161.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
161.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
161.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
160.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
160.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
160.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
159.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
159.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
159.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
159.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
159.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
159.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
158.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
158.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
158.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
158.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
158.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
158.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
158.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
157.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
157.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
157.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
156.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
155.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
155.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
155.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
155.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
154.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
154.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
154.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
154.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
153.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
153.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
153.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
153.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
153.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
153.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
153.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
152.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
152.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
152.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
151.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
151.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
151.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
151.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
151.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
151.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
151.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
151.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
150.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
150.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
150.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
150.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
150.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
149.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
149.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
149.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
149.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
149.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
149.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
149.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
149.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
149.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
148.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
148.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
147.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
147.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
147.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
147.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
147.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
146.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
146.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
146.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
146.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
145.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
145.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
145.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
144.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
144.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
144.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
144.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
144.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
144.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
143.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
143.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
143.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
143.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
143.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
142.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
142.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
142.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
142.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
141.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
141.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
141.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
140.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
140.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
140.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
140.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
140.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
139.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
139.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
138.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
138.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
138.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
138.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
137.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
137.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
137.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
137.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
136.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
136.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
135.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
135.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
135.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
135.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
135.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
135.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
134.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
134.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
134.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
134.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
134.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
133.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
133.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
133.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
133.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
133.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
132.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
132.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
132.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
132.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
131.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
130.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
130.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
130.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
129.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
129.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
129.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
128.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
128.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
127.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
126.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
125.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
125.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
125.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
125.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
125.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
123.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
123.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
122.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
121.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
121.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
121.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
121.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
117.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
117.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
117.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
115.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
115.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
114.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
113.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
113.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
113.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
113.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
112.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
112.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
112.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
111.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
111.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
110.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
109.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
109.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
108.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
108.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
108.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
108.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
107.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
105.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
102.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
101.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
97.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
96.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
93.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
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.
CNOT1 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
65.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
138.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
129.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
120.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
119.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
118.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
112.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
110.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
109.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
106.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
104.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
99.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
98.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
96.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
93.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
91.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
90.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
89.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
83.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
83.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
81.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
77.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
77.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
76.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
75.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
75.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
75.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
74.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
70.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
69.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
69.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
67.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
67.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
65.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
64.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
63.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
62.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
61.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
61.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
60.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
59.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
57.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
57.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
56.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
55.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
53.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
51.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
51.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
51.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
41.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
38.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
19.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CNOT1 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
163.9
Number of samples
207
Samples
Sample
Description
TPM
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
308.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
299.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
295.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
279.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
265.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
257.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
254.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
253.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
252.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
251.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
248.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
246.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
245.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
244.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
237.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
235.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
234.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
229.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
229.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
228.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
227.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
226.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
225.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
223.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
223.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
218.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
218.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
216.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
215.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
213.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
213.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
210.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
209.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
205.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
204.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
204.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
204.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
203.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
202.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
200.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
200.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
199.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
198.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
197.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
195.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
194.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
194.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
192.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
192.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
192.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
191.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
190.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
189.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
189.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
189.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
188.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
187.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
186.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
184.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
184.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
183.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
183.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
182.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
181.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
181.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
181.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
181.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
179.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
178.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
178.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
177.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
176.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
176.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
176.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
175.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
174.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
173.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
172.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
172.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
172.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
171.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
171.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
170.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
168.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
168.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
166.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
166.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
165.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
165.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
165.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
164.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
163.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
162.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
161.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
161.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
161.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
161.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
160.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
159.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
159.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
159.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
159.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
158.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
158.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
157.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
157.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
156.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
156.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
155.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
155.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
155.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
153.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
152.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
151.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
150.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
150.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
150.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
150.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
150.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
149.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
149.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
149.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
148.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
148.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
148.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
147.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
147.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
147.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
147.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
146.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
145.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
144.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
143.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
143.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
142.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
142.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
142.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
141.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
141.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
141.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
140.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
140.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
139.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
139.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
138.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
138.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
138.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
138.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
137.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
136.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
135.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
135.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
134.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
134.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
132.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
132.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
131.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
129.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
128.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
128.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
128.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
128.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
128.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
127.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
126.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
126.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
125.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
125.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
124.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
123.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
123.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
123.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
121.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
121.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
120.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
119.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
119.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
119.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
118.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
117.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
117.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
114.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
114.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
113.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
113.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
110.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
110.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
110.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
109.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
109.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
108.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
107.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
106.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
106.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
100.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
100.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
100.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
99.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
99.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
97.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
96.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
94.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
88.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
83.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
83.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
71.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
48.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
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Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
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Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
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Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
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Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
