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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.
EMC7 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
60.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
105.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
101.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
100.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
99.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
96.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
96.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
94.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
94.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
94.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
93.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
90.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
90.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
89.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
86.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
86.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
85.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
84.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
84.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
83.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
81.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
80.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
79.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
79.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
78.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
78.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
77.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
77.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
77.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
76.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
76.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
76.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
76.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
75.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
75.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
74.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
74.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
74.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
74.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
74.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
74.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
73.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
73.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
73.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
73.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
72.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
72.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
72.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
72.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
72.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
71.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
71.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
70.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
70.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
70.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
70.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
69.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
69.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
67.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
66.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
66.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
66.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
66.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
65.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
65.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
65.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
65.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
65.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
64.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
64.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
64.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
63.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
63.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
63.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
62.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
62.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
62.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
61.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
61.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
61.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
60.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
59.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
58.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
58.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
58.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
57.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
57.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
57.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
57.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
56.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
56.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
56.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
56.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
55.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
55.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
55.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
54.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
54.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
54.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
53.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
53.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
52.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
52.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
51.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
50.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
50.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
49.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
49.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
49.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
49.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
48.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
48.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
46.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
46.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
46.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
46.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
42.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
41.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
39.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
39.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
32.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
27.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 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.
EMC7 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
58.9
Number of samples
486
Samples
Sample
Description
TPM
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
153.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
111.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
103.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
100.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
100.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
99.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
98.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
96.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
95.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
94.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
92.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
90.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
89.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
89.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
89.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
88.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
87.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
83.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
83.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
82.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
81.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
80.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
79.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
79.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
79.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
79.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
78.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
78.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
78.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
77.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
77.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
77.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
77.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
77.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
77.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
76.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
75.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
75.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
74.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
74.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
73.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
73.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
73.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
73.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
73.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
72.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
72.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
72.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
71.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
69.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
69.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
69.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
68.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
68.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
68.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
68.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
67.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
67.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
67.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
66.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
66.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
65.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
64.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
64.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
64.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
64.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
64.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
63.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
63.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
63.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
62.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
62.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
62.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
62.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
62.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
62.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
61.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
61.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
61.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
61.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
61.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
61.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
60.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
60.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
60.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
60.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
57.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
57.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
57.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
55.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
55.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
55.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
55.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
54.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
54.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
54.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
54.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
53.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
49.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
47.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
46.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
42.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
40.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
39.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
34.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
26.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
EMC7 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
60.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
111.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
107.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
99.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
94.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
91.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
86.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
85.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
85.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
83.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
79.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
78.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
75.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
73.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
72.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
71.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
71.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
70.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
69.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
69.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
68.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
68.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
66.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
66.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
66.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
66.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
65.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
65.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
65.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
61.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
61.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
60.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
59.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
59.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
59.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
58.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
48.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
47.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
47.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
45.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
43.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EMC7 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
50.9
Number of samples
207
Samples
Sample
Description
TPM
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
104.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
90.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
87.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
86.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
85.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
84.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
78.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
77.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
76.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
73.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
73.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
72.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
71.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
70.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
69.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
68.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
66.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
65.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
65.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
65.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
64.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
63.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
62.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
61.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
59.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
57.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
57.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
57.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
56.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
52.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
48.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
47.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
44.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.9
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-3.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-3.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-7.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-8.5
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
