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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.
CSE1L 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
59.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
163.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
148.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
139.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
137.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
136.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
133.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
130.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
130.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
125.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
124.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
123.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
122.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
121.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
118.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
117.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
114.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
106.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
105.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
98.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
98.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
97.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
97.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
96.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
95.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
94.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
94.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
93.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
91.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
90.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
90.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
90.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
89.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
89.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
87.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
87.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
87.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
87.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
86.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
86.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
83.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
83.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
82.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
82.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
81.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
80.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
80.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
78.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
78.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
78.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
77.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
77.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
76.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
76.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
75.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
74.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
74.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
73.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
73.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
72.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
71.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
70.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
69.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
69.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
68.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
66.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
66.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
65.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
64.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
64.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
63.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
63.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
63.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
62.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
61.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
61.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
60.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
58.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
58.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
58.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
57.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
57.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
56.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
56.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
56.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
55.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
54.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
53.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
52.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
52.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
52.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
51.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
51.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
49.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
48.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
47.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
47.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
47.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
46.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
46.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
44.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
44.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
41.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
41.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
41.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
41.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
40.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
39.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
38.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
37.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
36.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
31.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
30.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
30.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
30.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
29.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
28.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
27.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
25.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
20.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CSE1L 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
83.5
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
321.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
269.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
241.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
214.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
199.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
199.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
194.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
191.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
184.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
182.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
177.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
176.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
171.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
170.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
170.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
168.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
162.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
162.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
161.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
158.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
158.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
156.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
156.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
156.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
155.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
154.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
151.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
150.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
148.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
148.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
147.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
146.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
145.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
145.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
144.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
139.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
137.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
137.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
134.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
134.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
134.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
133.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
133.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
132.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
131.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
130.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
130.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
130.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
130.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
129.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
128.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
125.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
125.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
125.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
124.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
123.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
123.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
123.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
122.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
120.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
120.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
120.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
119.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
117.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
116.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
114.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
114.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
113.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
113.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
112.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
112.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
112.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
112.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
111.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
111.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
111.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
111.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
111.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
110.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
110.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
109.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
108.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
108.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
108.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
107.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
107.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
107.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
107.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
107.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
107.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
106.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
106.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
105.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
105.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
105.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
105.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
104.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
103.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
103.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
103.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
103.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
103.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
103.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
103.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
102.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
102.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
102.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
102.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
102.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
102.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
101.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
101.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
101.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
101.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
100.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
100.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
99.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
99.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
98.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
98.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
98.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
98.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
98.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
97.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
97.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
96.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
96.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
96.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
96.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
96.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
96.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
96.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
95.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
95.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
95.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
95.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
95.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
94.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
94.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
94.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
94.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
94.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
93.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
93.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
93.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
93.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
93.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
93.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
92.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
92.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
92.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
91.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
91.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
91.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
91.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
91.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
90.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
90.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
90.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
89.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
89.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
89.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
89.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
89.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
88.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
88.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
88.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
88.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
87.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
86.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
85.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
85.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
85.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
85.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
85.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
85.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
85.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
84.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
84.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
84.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
84.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
84.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
83.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
83.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
83.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
82.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
82.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
82.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
82.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
82.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
82.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
81.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
81.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
81.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
81.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
81.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
81.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
81.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
81.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
81.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
81.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
80.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
80.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
80.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
79.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
79.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
79.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
78.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
78.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
78.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
78.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
77.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
77.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
76.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
76.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
76.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
76.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
75.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
75.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
75.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
74.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
74.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
74.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
73.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
73.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
73.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
73.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
72.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
71.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
71.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
71.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
70.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
69.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
69.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
69.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
69.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
68.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
67.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
67.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
67.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
66.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
66.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
66.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
66.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
65.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
65.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
65.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
64.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
64.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
62.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
62.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
62.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
61.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
60.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
60.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
59.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
58.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
58.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
56.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
55.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
55.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
55.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
53.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
53.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
52.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
49.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
CSE1L 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
71.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
200.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
155.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
145.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
139.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
136.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
136.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
135.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
131.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
119.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
115.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
110.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
108.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
108.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
107.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
97.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
97.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
95.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
92.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
92.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
89.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
89.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
88.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
86.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
84.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
82.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
81.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
80.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
79.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
77.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
75.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
74.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
73.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
72.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
72.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
72.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
72.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
68.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
67.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
65.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
64.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
63.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
63.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
62.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
62.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
61.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
59.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
57.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
55.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
53.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
51.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
51.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
48.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
37.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
16.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CSE1L 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
86.1
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
218.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
191.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
181.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
180.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
179.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
172.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
162.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
162.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
158.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
158.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
155.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
147.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
145.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
145.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
144.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
143.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
143.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
140.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
137.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
137.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
134.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
131.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
129.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
129.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
126.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
124.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
124.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
124.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
123.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
123.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
122.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
121.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
121.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
121.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
121.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
121.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
120.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
119.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
118.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
117.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
117.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
112.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
112.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
111.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
111.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
111.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
109.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
109.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
107.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
107.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
107.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
106.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
106.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
106.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
105.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
104.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
103.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
103.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
103.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
103.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
102.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
100.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
100.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
99.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
99.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
97.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
97.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
96.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
96.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
95.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
94.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
94.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
93.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
92.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
92.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
92.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
91.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
91.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
91.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
89.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
88.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
88.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
88.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
88.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
87.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
87.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
86.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
86.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
86.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
86.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
85.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
83.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
82.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
80.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
79.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
79.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
79.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
78.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
78.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
78.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
77.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
76.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
76.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
76.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
75.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
74.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
74.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
74.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
74.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
72.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
71.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
70.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
70.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
69.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
69.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
68.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
68.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
67.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
67.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
66.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
66.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
63.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
62.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
62.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
61.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
59.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
59.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
59.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
29.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.9
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
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
