We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
CHID1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
59.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
131.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
107.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
102.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
100.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
97.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
96.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
95.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
95.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
94.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
93.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
92.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
92.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
91.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
91.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
91.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
90.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
89.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
89.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
88.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
87.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
87.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
87.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
86.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
85.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
85.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
83.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
83.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
83.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
82.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
82.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
82.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
81.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
81.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
80.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
79.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
79.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
79.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
78.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
78.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
78.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
78.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
77.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
76.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
76.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
75.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
73.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
73.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
73.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
72.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
72.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
72.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
71.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
70.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
70.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
69.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
69.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
68.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
68.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
68.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
68.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
68.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
67.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
67.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
67.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
67.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
66.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
66.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
65.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
65.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
65.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
64.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
64.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
63.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
63.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
63.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
62.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
62.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
62.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
61.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
61.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
61.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
60.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
60.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
60.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
59.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
59.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
59.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
59.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
57.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
57.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
57.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
56.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
56.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
56.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
56.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
56.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
54.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
53.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
53.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
53.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
53.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
52.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
52.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
50.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
49.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
49.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
48.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
48.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
47.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
47.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
47.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
46.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
46.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
44.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
42.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
42.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
40.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
40.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
40.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
37.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
37.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
36.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
34.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
34.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CHID1 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
34.3
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
50.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
42.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
42.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
40.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
40.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
39.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
38.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
38.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
37.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
37.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
37.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
37.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
36.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
35.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
35.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
35.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
35.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
34.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
34.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
33.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
33.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
33.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
32.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
32.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
32.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
32.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
31.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
31.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
31.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
31.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
30.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
30.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
30.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
30.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
30.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
30.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
29.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
29.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
29.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
29.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
29.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
29.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
29.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
28.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
28.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
28.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
28.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
28.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
28.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
27.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
27.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
27.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
27.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
27.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
27.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
27.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
27.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
27.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
26.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
26.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
26.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
26.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
26.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
26.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
26.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
26.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
26.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
26.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
25.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
25.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
24.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
24.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
24.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
24.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
23.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
23.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
23.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
23.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
23.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
23.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
22.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
21.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
21.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
21.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
21.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
21.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
21.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
21.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
19.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
19.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
19.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
19.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
17.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
17.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
16.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
16.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
16.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
CHID1 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
58.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
107.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
101.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
87.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
84.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
82.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
80.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
79.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
79.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
78.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
78.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
72.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
71.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
71.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
67.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
65.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
64.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
64.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
64.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
63.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
63.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
61.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
60.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
60.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
58.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
57.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
57.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
57.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
49.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
49.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
47.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
47.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
46.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
45.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
41.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
35.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
25.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
22.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CHID1 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
31.3
Number of samples
207
Samples
Sample
Description
TPM
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
47.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
40.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
39.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
37.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
36.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
34.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
34.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
33.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
32.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
31.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
30.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
30.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
29.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
27.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
27.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
26.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
25.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
25.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
24.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
24.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
24.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
24.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
23.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
23.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
23.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
23.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
21.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
21.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
20.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
19.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
16.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
15.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
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
