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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.
CDK4 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
134.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
303.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
298.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
292.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
291.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
278.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
274.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
265.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
246.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
239.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
231.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
231.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
231.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
229.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
226.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
223.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
220.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
206.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
205.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
201.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
198.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
196.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
196.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
195.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
194.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
189.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
188.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
187.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
184.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
183.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
183.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
182.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
182.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
181.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
181.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
181.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
179.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
178.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
178.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
177.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
176.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
175.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
174.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
173.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
173.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
172.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
171.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
170.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
169.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
169.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
169.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
167.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
165.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
164.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
164.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
164.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
163.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
162.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
161.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
161.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
161.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
160.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
159.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
159.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
159.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
159.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
158.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
158.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
158.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
158.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
157.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
157.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
157.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
156.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
155.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
154.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
154.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
152.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
151.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
150.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
150.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
149.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
149.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
147.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
146.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
146.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
146.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
145.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
145.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
145.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
144.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
142.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
141.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
141.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
140.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
140.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
140.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
139.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
139.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
139.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
139.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
138.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
138.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
138.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
137.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
137.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
137.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
136.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
136.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
134.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
134.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
134.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
134.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
133.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
133.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
132.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
132.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
132.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
132.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
132.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
131.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
131.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
129.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
129.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
128.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
128.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
128.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
128.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
127.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
127.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
126.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
125.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
125.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
125.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
125.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
125.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
125.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
124.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
124.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
124.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
123.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
122.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
121.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
120.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
119.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
119.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
119.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
118.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
117.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
116.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
116.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
116.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
116.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
115.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
115.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
115.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
113.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
113.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
113.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
112.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
112.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
111.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
111.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
111.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
110.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
109.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
109.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
109.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
108.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
108.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
107.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
107.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
107.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
107.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
107.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
107.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
105.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
104.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
104.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
104.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
104.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
104.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
103.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
103.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
103.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
103.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
103.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
103.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
103.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
102.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
102.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
100.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
100.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
100.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
99.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
99.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
99.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
97.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
97.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
97.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
95.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
95.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
95.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
95.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
94.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
94.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
93.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
93.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
93.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
93.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
93.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
93.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
93.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
92.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
92.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
91.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
91.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
91.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
90.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
90.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
89.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
89.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
88.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
87.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
86.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
85.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
84.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
83.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
82.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
80.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
80.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
80.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
79.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
76.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
76.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
74.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
73.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
71.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
71.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
71.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
47.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
CDK4 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
70.0
Number of samples
486
Samples
Sample
Description
TPM
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
192.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
152.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
144.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
140.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
130.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
129.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
126.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
125.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
125.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
125.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
123.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
123.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
122.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
122.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
120.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
119.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
118.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
116.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
116.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
115.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
115.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
113.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
113.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
113.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
112.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
111.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
108.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
108.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
107.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
107.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
106.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
105.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
105.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
104.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
104.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
103.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
103.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
103.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
102.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
102.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
102.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
102.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
102.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
102.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
100.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
99.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
99.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
99.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
99.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
99.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
98.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
98.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
98.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
97.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
97.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
97.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
96.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
96.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
96.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
96.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
96.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
96.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
95.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
95.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
95.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
94.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
93.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
92.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
92.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
92.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
91.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
91.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
91.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
91.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
90.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
90.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
90.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
89.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
89.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
88.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
88.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
88.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
88.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
87.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
87.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
86.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
86.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
85.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
85.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
85.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
84.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
83.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
83.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
83.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
83.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
82.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
82.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
82.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
81.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
81.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
81.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
80.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
80.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
80.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
80.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
79.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
79.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
79.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
79.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
79.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
79.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
78.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
78.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
78.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
78.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
77.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
77.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
76.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
76.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
76.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
75.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
75.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
75.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
75.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
75.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
75.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
74.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
74.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
74.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
74.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
74.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
73.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
73.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
73.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
73.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
73.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
72.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
72.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
72.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
71.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
71.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
71.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
71.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
70.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
70.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
70.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
70.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
70.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
70.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
70.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
69.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
69.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
69.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
68.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
68.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
68.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
68.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
67.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
67.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
67.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
67.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
66.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
66.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
66.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
65.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
65.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
65.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
65.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
64.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
64.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
64.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
64.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
63.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
62.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
62.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
61.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
61.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
61.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
60.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
60.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
59.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
58.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
58.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
56.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
56.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
56.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
56.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
55.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
55.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
53.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
53.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
51.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
51.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
48.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
47.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
46.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
46.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
44.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
43.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
CDK4 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
126.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
225.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
199.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
193.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
192.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
192.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
191.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
187.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
187.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
185.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
181.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
181.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
178.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
173.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
172.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
167.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
166.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
166.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
165.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
164.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
159.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
158.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
157.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
155.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
155.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
155.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
151.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
151.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
150.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
149.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
147.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
143.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
143.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
142.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
141.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
139.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
138.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
137.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
133.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
133.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
132.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
131.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
129.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
129.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
125.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
124.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
124.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
123.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
123.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
118.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
117.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
117.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
115.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
112.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
110.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
110.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
110.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
108.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
108.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
106.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
102.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
101.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
101.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
99.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
97.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
96.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
95.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
94.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
91.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
90.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
89.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
88.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
86.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
84.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
83.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
82.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
79.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
75.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
70.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
70.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CDK4 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
62.3
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
127.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
126.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
114.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
113.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
109.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
107.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
104.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
100.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
100.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
99.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
98.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
97.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
95.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
93.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
91.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
91.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
90.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
89.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
89.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
85.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
84.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
84.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
84.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
83.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
82.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
82.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
80.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
79.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
78.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
77.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
77.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
77.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
77.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
76.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
76.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
76.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
75.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
74.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
74.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
73.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
73.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
72.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
71.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
70.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
70.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
70.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
69.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
69.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
69.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
68.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
68.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
67.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
65.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
65.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
65.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
63.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
63.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
62.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
62.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
62.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
60.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
60.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
59.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
58.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
57.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
57.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
56.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
56.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
55.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
55.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
53.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
51.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
49.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
48.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
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Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.3
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.