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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CSNK1A1 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
59.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
195.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
158.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
147.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
120.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
119.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
118.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
115.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
110.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
109.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
99.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
97.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
97.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
95.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
91.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
91.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
90.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
87.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
87.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
84.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
83.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
82.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
82.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
81.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
80.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
80.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
80.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
79.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
78.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
78.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
77.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
76.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
75.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
75.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
75.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
74.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
74.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
74.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
73.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
73.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
73.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
73.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
73.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
73.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
72.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
71.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
71.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
70.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
69.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
69.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
68.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
68.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
67.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
67.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
65.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
64.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
64.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
64.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
63.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
62.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
62.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
62.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
61.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
59.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
58.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
58.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
57.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
57.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
56.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
56.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
56.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
56.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
56.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
56.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
55.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
55.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
55.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
55.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
54.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
54.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
54.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
54.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
54.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
53.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
53.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
53.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
51.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
51.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
50.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
50.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
49.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
49.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
49.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
49.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
48.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
48.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
47.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
46.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
45.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
45.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
43.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
42.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
42.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
42.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
41.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
40.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
40.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
40.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
39.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
38.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
38.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
35.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
34.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 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.
CSNK1A1 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
111.4
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
278.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
273.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
198.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
197.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
196.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
196.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
195.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
185.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
184.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
184.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
181.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
179.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
174.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
173.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
173.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
173.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
171.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
170.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
170.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
169.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
168.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
168.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
167.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
167.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
167.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
166.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
165.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
165.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
164.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
164.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
163.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
163.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
161.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
161.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
161.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
161.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
159.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
157.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
156.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
155.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
155.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
155.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
154.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
154.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
154.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
154.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
154.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
152.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
152.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
151.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
151.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
151.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
151.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
151.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
150.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
149.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
149.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
149.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
149.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
149.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
148.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
148.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
147.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
146.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
146.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
146.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
146.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
146.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
146.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
146.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
145.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
145.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
145.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
144.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
144.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
144.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
143.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
143.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
143.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
142.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
141.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
141.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
141.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
141.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
140.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
140.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
140.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
140.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
139.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
139.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
139.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
139.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
138.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
138.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
138.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
138.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
137.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
137.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
137.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
137.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
136.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
136.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
136.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
136.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
135.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
135.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
135.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
134.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
134.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
133.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
133.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
133.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
133.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
132.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
132.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
132.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
131.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
131.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
130.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
130.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
129.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
129.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
129.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
129.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
129.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
128.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
128.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
127.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
127.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
127.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
127.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
127.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
126.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
126.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
125.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
125.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
125.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
125.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
125.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
125.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
124.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
124.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
124.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
124.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
124.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
124.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
124.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
123.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
123.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
123.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
123.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
122.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
122.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
122.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
122.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
121.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
121.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
121.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
121.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
121.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
121.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
120.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
120.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
120.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
119.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
119.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
119.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
118.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
118.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
118.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
118.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
117.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
117.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
117.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
117.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
117.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
117.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
117.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
117.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
117.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
117.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
117.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
116.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
116.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
116.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
116.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
115.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
115.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
115.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
114.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
114.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
114.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
114.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
114.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
114.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
113.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
113.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
113.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
113.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
112.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
112.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
111.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
111.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
111.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
111.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
111.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
111.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
111.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
111.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
110.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
110.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
110.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
110.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
110.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
110.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
110.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
109.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
109.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
109.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
109.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
109.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
109.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
109.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
108.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
108.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
108.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
107.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
107.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
107.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
107.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
107.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
106.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
106.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
106.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
106.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
106.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
106.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
106.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
106.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
105.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
105.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
105.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
105.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
105.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
105.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
104.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
104.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
104.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
104.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
104.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
103.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
103.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
103.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
103.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
103.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
103.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
103.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
103.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
102.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
102.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
102.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
102.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
102.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
102.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
102.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
101.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
101.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
101.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
101.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
100.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
100.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
100.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
100.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
100.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
99.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
99.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
99.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
99.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
99.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
99.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
99.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
99.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
98.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
98.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
98.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
98.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
98.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
97.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
97.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
97.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
97.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
97.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
97.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
97.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
97.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
97.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
97.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
96.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
96.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
96.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
96.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
96.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
96.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
96.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
95.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
95.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
95.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
95.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
95.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
95.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
95.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
95.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
95.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
95.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
94.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
94.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
94.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
94.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
94.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
94.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
93.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
93.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
93.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
93.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
93.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
93.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
93.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
92.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
92.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
92.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
92.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
92.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
92.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
91.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
91.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
91.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
91.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
91.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
91.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
90.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
90.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
90.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
90.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
90.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
90.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
90.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
90.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
89.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
89.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
89.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
89.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
89.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
88.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
88.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
88.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
88.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
88.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
88.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
88.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
88.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
88.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
88.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
87.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
87.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
87.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
87.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
87.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
87.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
86.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
86.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
86.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
86.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
86.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
86.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
85.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
85.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
85.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
85.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
85.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
84.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
84.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
83.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
83.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
83.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
83.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
82.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
82.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
82.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
82.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
81.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
81.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
81.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
81.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
81.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
80.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
80.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
80.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
79.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
79.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
79.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
79.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
79.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
79.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
78.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
78.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
78.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
77.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
77.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
76.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
76.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
76.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
76.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
76.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
75.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
75.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
74.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
74.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
73.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
72.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
71.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
71.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
70.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
70.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
69.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
68.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
66.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
64.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
47.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.5
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.
CSNK1A1 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
57.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
126.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
123.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
108.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
103.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
94.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
76.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
74.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
72.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
71.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
70.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
70.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
70.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
68.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
68.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
68.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
67.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
66.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
61.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
60.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
59.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
58.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
58.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
57.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
57.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
56.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
50.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
48.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
46.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
40.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CSNK1A1 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
105.3
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
200.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
191.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
172.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
170.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
161.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
160.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
160.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
160.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
158.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
152.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
152.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
150.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
147.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
146.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
146.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
143.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
142.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
140.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
140.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
140.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
139.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
139.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
137.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
136.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
135.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
134.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
134.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
133.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
131.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
131.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
131.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
131.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
131.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
130.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
130.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
129.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
129.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
128.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
127.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
124.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
124.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
124.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
124.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
122.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
122.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
122.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
121.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
121.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
120.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
120.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
120.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
119.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
118.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
118.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
118.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
118.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
117.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
117.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
117.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
117.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
117.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
115.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
115.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
115.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
115.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
115.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
114.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
114.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
113.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
113.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
113.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
113.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
112.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
111.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
110.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
109.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
109.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
109.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
109.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
108.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
108.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
108.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
107.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
107.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
107.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
107.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
105.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
105.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
105.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
104.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
104.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
104.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
104.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
104.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
103.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
103.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
102.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
101.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
101.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
101.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
100.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
100.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
100.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
100.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
100.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
100.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
100.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
100.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
99.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
99.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
99.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
99.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
98.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
98.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
98.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
98.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
97.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
97.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
97.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
97.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
97.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
96.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
96.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
96.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
96.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
96.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
96.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
95.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
95.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
95.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
95.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
95.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
95.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
95.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
94.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
94.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
94.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
94.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
93.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
93.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
92.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
92.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
92.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
92.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
91.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
91.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
91.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
90.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
90.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
89.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
89.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
89.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
89.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
88.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
88.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
88.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
87.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
86.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
86.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
86.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
86.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
86.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
85.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
85.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
84.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
84.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
84.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
83.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
83.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
83.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
83.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
82.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
81.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
81.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
80.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
80.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
79.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
78.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
78.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
77.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
77.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
77.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
77.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
76.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
75.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
73.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
73.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
66.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
62.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
58.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
57.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
57.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
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Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
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Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
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Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
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Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
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Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
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Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
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Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
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Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
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Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
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Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
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
