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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.
SF3B4 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
66.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
121.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
120.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
116.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
116.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
115.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
109.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
109.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
108.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
108.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
107.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
105.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
105.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
104.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
101.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
99.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
97.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
97.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
95.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
94.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
93.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
92.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
92.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
91.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
91.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
91.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
90.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
90.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
89.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
88.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
88.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
88.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
87.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
85.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
84.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
84.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
81.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
80.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
80.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
80.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
79.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
78.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
78.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
77.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
77.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
77.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
77.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
76.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
76.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
76.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
75.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
75.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
73.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
73.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
73.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
73.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
72.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
72.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
72.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
72.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
72.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
72.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
71.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
71.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
71.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
71.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
71.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
71.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
70.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
70.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
70.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
70.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
70.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
69.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
69.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
69.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
69.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
69.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
68.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
68.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
68.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
68.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
67.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
67.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
66.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
66.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
66.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
66.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
66.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
65.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
65.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
64.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
64.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
64.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
64.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
64.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
64.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
63.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
62.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
62.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
62.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
62.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
62.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
61.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
61.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
61.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
59.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
59.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
59.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
58.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
58.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
58.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
57.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
57.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
57.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
57.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
57.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
56.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
55.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
55.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
55.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
55.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
55.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
54.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
54.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
54.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
54.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
53.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
51.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
51.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
51.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
49.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
48.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
48.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
46.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
44.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
44.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
43.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
26.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SF3B4 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
58.0
Number of samples
486
Samples
Sample
Description
TPM
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
123.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
107.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
105.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
101.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
94.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
93.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
92.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
92.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
89.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
89.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
87.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
85.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
82.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
81.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
79.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
78.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
78.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
78.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
78.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
77.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
77.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
76.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
75.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
74.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
74.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
73.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
73.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
73.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
73.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
72.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
72.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
72.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
72.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
72.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
71.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
70.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
70.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
70.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
70.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
70.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
70.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
69.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
69.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
68.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
68.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
67.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
66.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
66.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
64.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
64.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
64.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
64.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
64.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
63.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
63.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
63.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
63.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
62.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
62.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
62.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
62.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
62.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
61.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
61.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
60.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
59.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
59.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
59.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
59.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
58.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
57.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
56.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
56.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
56.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
55.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
55.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
54.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
54.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
54.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
53.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
53.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
52.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
52.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
52.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
51.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
51.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
51.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
51.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
49.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
49.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
49.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
49.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
45.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
44.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
43.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
39.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
SF3B4 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
63.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
139.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
130.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
120.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
100.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
95.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
95.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
93.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
88.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
88.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
83.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
82.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
80.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
78.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
77.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
75.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
75.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
73.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
73.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
72.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
71.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
70.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
70.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
70.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
65.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
64.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
64.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
63.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
63.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
61.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
59.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
58.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
58.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
56.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
55.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
53.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
53.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
53.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
51.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
49.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
48.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
40.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SF3B4 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
53.6
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
84.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
80.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
78.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
78.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
77.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
75.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
73.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
71.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
70.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
70.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
69.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
68.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
67.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
66.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
65.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
62.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
62.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
61.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
59.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
59.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
56.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
55.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
55.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
54.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
40.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
