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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.
TAF9 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
52.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
110.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
109.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
109.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
105.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
101.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
99.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
98.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
94.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
93.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
92.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
91.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
90.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
85.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
83.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
82.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
81.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
80.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
80.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
80.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
79.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
78.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
78.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
78.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
77.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
76.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
74.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
73.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
73.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
71.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
70.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
70.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
69.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
69.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
68.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
67.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
66.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
66.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
65.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
65.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
64.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
63.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
63.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
63.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
61.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
61.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
60.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
60.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
60.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
60.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
59.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
58.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
58.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
57.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
57.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
57.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
57.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
55.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
55.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
55.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
54.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
54.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
53.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
53.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
53.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
53.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
53.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
53.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
52.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
52.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
52.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
52.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
52.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
51.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
49.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
49.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
48.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
48.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
47.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
46.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
46.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
45.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
44.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
42.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
41.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
40.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
39.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
39.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
38.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
38.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
38.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
37.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
37.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
36.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
34.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
34.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
33.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
32.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
32.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
30.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
27.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
24.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 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.
TAF9 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
45.2
Number of samples
486
Samples
Sample
Description
TPM
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
87.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
86.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
78.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
74.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
71.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
69.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
67.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
66.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
64.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
64.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
63.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
63.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
63.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
63.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
62.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
61.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
61.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
60.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
60.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
59.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
59.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
58.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
52.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
52.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
52.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
51.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
49.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
47.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
45.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
44.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
43.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
40.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
34.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
33.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
32.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
31.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
31.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
31.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
30.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
29.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
26.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
25.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
24.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
23.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
15.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TAF9 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
50.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
97.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
89.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
83.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
83.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
82.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
81.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
79.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
78.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
75.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
73.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
67.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
64.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
63.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
62.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
62.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
61.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
59.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
59.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
58.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
57.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
57.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
55.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
55.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
53.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
52.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
48.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
46.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
45.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
45.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
43.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
37.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
37.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
32.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.9
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.
TAF9 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
41.0
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
64.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
60.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
55.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
51.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
50.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
44.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
39.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
39.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
35.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
35.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
32.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
29.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
27.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
25.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
21.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
12.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
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
