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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.
EIF3J 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
56.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
113.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
109.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
106.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
103.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
99.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
94.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
91.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
91.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
91.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
90.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
90.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
88.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
88.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
87.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
87.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
86.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
86.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
85.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
84.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
83.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
83.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
83.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
83.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
82.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
81.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
80.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
80.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
79.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
79.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
78.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
77.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
76.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
76.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
76.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
75.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
74.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
74.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
74.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
74.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
74.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
74.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
74.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
73.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
72.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
71.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
70.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
70.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
69.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
69.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
69.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
68.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
68.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
67.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
67.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
67.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
67.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
66.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
65.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
65.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
65.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
65.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
64.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
64.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
64.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
63.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
63.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
62.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
61.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
61.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
61.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
61.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
61.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
60.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
60.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
60.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
60.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
59.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
58.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
57.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
56.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
55.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
55.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
53.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
53.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
52.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
51.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
51.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
51.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
50.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
50.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
49.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
49.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
48.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
48.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
48.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
48.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
47.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
47.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
46.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
45.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
45.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
44.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
44.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
43.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
41.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
39.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
36.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
35.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
35.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
30.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
30.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
24.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
EIF3J 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
42.6
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
99.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
94.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
83.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
81.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
80.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
78.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
73.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
72.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
71.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
70.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
68.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
66.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
66.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
65.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
64.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
64.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
64.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
63.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
61.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
61.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
58.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
58.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
57.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
57.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
56.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
55.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
54.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
53.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
53.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
52.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
51.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
51.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
50.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
49.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
47.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
47.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
45.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
44.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
44.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
42.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
41.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
41.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
36.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
34.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
34.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
33.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
33.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
32.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
31.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
30.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
30.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
30.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
28.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
28.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
28.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
28.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
27.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
27.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
26.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
26.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
25.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
24.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
24.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
23.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
22.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
21.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
21.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
20.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
19.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF3J 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
61.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
123.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
114.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
114.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
108.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
101.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
99.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
98.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
96.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
93.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
93.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
91.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
89.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
88.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
87.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
85.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
81.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
79.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
78.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
75.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
75.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
73.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
72.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
72.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
72.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
71.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
70.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
70.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
66.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
62.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
59.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
59.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
58.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
55.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
53.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
53.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
51.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
51.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
50.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
47.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
44.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
43.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
40.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
35.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
33.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EIF3J 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
43.5
Number of samples
207
Samples
Sample
Description
TPM
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
123.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
82.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
73.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
72.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
70.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
67.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
65.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
64.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
63.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
61.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
58.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
55.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
47.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
43.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
38.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
31.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
31.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
28.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
27.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
27.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
25.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
20.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.7
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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
0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
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Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
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Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
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Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
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Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
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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.