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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.
CCND1 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
73.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
346.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
196.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
175.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
155.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
154.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
154.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
152.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
149.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
147.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
145.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
145.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
142.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
142.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
139.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
136.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
132.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
131.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
131.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
128.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
127.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
124.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
122.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
120.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
120.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
117.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
117.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
114.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
113.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
112.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
111.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
111.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
110.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
109.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
109.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
106.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
105.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
105.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
105.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
105.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
104.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
104.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
104.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
103.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
103.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
102.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
101.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
100.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
99.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
97.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
95.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
94.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
94.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
94.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
91.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
91.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
91.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
90.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
90.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
89.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
89.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
89.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
88.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
88.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
88.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
88.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
87.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
87.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
87.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
86.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
86.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
86.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
85.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
85.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
85.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
85.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
81.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
81.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
80.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
80.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
80.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
79.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
78.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
78.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
78.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
77.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
75.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
75.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
75.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
73.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
73.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
73.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
73.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
73.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
73.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
72.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
72.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
72.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
70.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
70.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
69.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
69.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
68.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
68.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
68.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
67.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
66.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
65.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
64.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
63.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
63.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
63.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
62.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
62.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
61.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
60.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
60.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
60.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
60.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
59.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
59.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
58.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
57.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
57.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
55.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
53.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
53.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
52.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
51.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
50.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
47.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
47.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
45.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
45.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
43.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
43.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
43.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
42.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
41.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
36.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
36.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
26.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
24.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
22.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
CCND1 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
95.8
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
860.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
857.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
330.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
265.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
223.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
217.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
209.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
204.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
198.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
197.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
192.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
191.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
185.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
180.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
180.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
176.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
175.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
173.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
171.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
171.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
170.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
170.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
168.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
168.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
167.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
167.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
166.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
166.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
164.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
162.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
162.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
161.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
160.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
159.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
156.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
156.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
156.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
152.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
151.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
151.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
151.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
150.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
150.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
150.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
149.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
148.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
146.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
146.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
146.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
143.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
143.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
142.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
141.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
140.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
139.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
137.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
137.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
135.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
133.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
133.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
133.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
133.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
133.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
133.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
132.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
131.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
130.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
130.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
130.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
129.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
129.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
128.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
128.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
127.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
127.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
126.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
126.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
125.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
125.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
125.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
124.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
124.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
123.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
123.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
122.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
122.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
122.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
122.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
122.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
122.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
122.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
121.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
120.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
120.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
120.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
120.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
120.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
120.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
119.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
119.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
119.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
118.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
118.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
118.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
117.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
116.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
116.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
116.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
115.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
115.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
114.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
114.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
114.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
113.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
113.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
113.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
113.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
112.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
112.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
112.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
112.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
112.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
112.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
112.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
111.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
111.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
110.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
110.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
110.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
110.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
109.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
109.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
109.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
108.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
107.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
107.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
107.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
107.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
106.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
106.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
106.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
106.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
106.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
106.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
105.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
105.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
105.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
104.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
104.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
104.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
104.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
103.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
103.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
103.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
103.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
102.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
102.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
102.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
102.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
102.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
101.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
101.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
100.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
100.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
100.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
99.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
99.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
99.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
99.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
98.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
98.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
98.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
97.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
97.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
97.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
97.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
97.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
97.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
96.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
96.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
96.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
96.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
96.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
96.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
96.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
95.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
95.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
95.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
95.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
95.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
94.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
94.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
94.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
94.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
94.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
93.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
93.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
93.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
93.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
93.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
93.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
92.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
92.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
92.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
91.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
91.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
90.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
90.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
89.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
89.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
89.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
89.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
89.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
88.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
88.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
88.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
88.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
88.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
87.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
87.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
87.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
87.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
87.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
87.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
86.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
86.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
85.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
85.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
85.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
84.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
84.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
84.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
84.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
84.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
84.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
84.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
84.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
83.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
83.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
83.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
82.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
82.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
82.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
82.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
82.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
82.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
81.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
81.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
81.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
81.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
80.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
80.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
80.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
80.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
79.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
79.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
79.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
79.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
78.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
78.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
77.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
77.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
77.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
77.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
77.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
76.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
75.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
75.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
75.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
75.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
75.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
75.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
75.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
74.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
74.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
74.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
74.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
73.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
73.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
73.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
72.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
72.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
72.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
72.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
72.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
71.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
71.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
69.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
69.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
69.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
69.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
69.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
68.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
68.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
68.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
68.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
67.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
67.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
67.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
66.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
65.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
64.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
64.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
64.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
63.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
63.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
62.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
61.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
60.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
60.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
58.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
58.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
56.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
55.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
54.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
53.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
50.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
50.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.2
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.
CCND1 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
72.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
297.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
248.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
157.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
139.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
128.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
126.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
113.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
112.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
111.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
110.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
104.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
103.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
103.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
102.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
102.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
100.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
95.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
94.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
94.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
93.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
91.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
89.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
87.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
84.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
84.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
82.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
82.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
81.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
76.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
74.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
72.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
71.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
69.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
67.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
64.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
64.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
62.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
61.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
60.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
60.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
59.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
59.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
55.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
52.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
49.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
49.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
45.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
18.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
CCND1 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
91.8
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
344.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
312.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
261.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
210.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
198.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
195.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
185.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
179.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
171.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
170.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
162.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
158.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
157.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
157.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
154.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
153.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
151.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
150.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
147.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
145.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
142.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
138.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
138.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
137.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
135.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
134.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
133.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
132.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
132.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
129.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
128.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
127.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
126.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
125.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
124.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
123.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
122.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
122.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
122.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
118.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
114.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
113.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
113.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
113.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
113.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
113.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
113.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
113.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
113.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
112.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
112.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
111.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
111.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
110.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
109.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
109.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
108.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
104.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
104.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
103.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
103.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
103.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
102.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
101.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
101.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
101.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
101.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
100.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
99.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
99.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
99.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
99.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
99.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
98.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
97.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
97.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
95.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
94.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
94.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
94.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
93.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
93.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
92.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
92.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
92.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
91.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
90.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
90.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
89.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
89.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
88.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
88.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
88.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
87.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
87.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
86.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
86.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
85.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
85.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
84.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
83.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
83.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
83.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
82.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
81.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
81.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
81.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
81.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
81.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
81.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
81.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
80.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
79.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
79.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
78.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
77.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
76.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
75.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
75.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
74.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
74.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
73.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
72.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
72.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
71.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
71.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
69.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
68.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
68.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
64.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
63.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
63.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
58.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
54.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
53.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
53.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
14.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
