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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.
ITGA6 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
96.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
298.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
264.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
241.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
240.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
232.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
226.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
218.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
211.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
211.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
209.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
204.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
198.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
198.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
192.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
185.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
185.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
184.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
183.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
177.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
177.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
175.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
169.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
168.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
165.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
164.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
164.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
161.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
157.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
154.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
154.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
153.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
152.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
151.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
147.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
145.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
143.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
140.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
136.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
135.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
134.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
134.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
134.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
131.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
131.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
131.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
130.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
129.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
127.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
127.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
126.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
125.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
125.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
124.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
124.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
123.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
123.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
122.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
121.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
121.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
118.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
117.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
114.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
113.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
110.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
110.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
109.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
109.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
107.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
107.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
107.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
107.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
107.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
107.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
106.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
106.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
105.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
104.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
104.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
103.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
102.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
102.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
102.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
102.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
102.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
102.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
101.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
101.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
100.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
99.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
99.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
99.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
99.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
99.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
97.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
97.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
97.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
97.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
96.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
96.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
95.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
95.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
95.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
94.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
94.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
94.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
94.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
93.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
92.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
92.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
92.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
92.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
92.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
92.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
92.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
90.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
89.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
89.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
88.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
88.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
88.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
87.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
87.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
87.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
87.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
87.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
86.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
86.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
86.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
86.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
85.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
84.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
84.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
84.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
84.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
83.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
83.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
83.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
83.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
83.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
82.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
82.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
82.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
81.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
81.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
80.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
80.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
79.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
78.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
78.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
78.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
77.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
77.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
77.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
77.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
76.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
75.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
75.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
74.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
72.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
72.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
71.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
71.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
71.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
71.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
70.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
69.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
69.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
69.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
68.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
68.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
68.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
66.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
66.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
66.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
66.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
64.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
63.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
63.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
63.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
63.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
62.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
59.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
59.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
56.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
56.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
56.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
55.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
55.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
54.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
54.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
53.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
53.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
52.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
52.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
51.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
51.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
50.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
49.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
49.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
46.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
45.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
45.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
44.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
40.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
39.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
37.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
37.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
24.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
ITGA6 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
187.6
Number of samples
486
Samples
Sample
Description
TPM
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
620.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
557.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
533.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
505.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
493.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
492.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
492.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
490.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
489.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
451.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
441.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
439.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
424.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
419.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
413.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
401.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
392.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
387.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
373.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
369.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
365.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
365.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
356.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
353.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
353.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
346.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
343.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
342.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
341.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
336.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
334.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
331.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
330.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
325.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
324.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
320.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
319.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
319.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
318.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
315.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
314.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
314.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
309.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
305.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
304.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
304.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
296.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
296.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
296.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
296.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
295.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
295.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
289.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
289.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
287.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
286.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
286.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
286.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
283.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
280.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
280.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
279.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
277.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
274.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
274.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
269.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
268.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
268.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
267.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
267.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
266.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
266.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
264.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
264.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
260.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
256.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
255.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
255.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
255.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
254.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
253.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
253.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
252.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
251.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
250.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
249.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
247.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
246.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
246.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
246.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
244.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
243.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
242.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
242.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
242.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
241.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
241.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
240.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
239.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
239.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
239.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
238.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
238.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
238.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
235.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
235.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
234.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
234.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
234.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
233.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
233.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
232.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
231.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
231.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
230.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
229.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
229.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
227.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
225.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
225.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
224.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
224.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
224.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
223.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
222.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
222.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
221.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
221.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
220.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
220.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
220.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
219.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
218.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
217.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
216.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
216.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
216.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
216.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
215.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
215.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
215.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
214.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
214.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
213.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
213.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
213.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
213.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
212.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
212.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
209.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
208.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
208.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
206.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
206.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
205.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
205.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
205.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
204.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
204.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
203.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
202.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
202.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
201.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
201.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
200.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
200.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
200.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
199.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
199.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
199.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
199.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
199.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
198.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
198.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
197.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
197.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
197.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
194.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
194.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
193.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
192.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
191.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
191.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
191.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
190.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
190.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
190.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
189.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
189.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
188.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
188.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
188.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
188.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
187.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
187.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
187.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
187.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
186.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
186.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
185.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
185.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
185.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
184.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
183.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
183.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
182.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
182.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
180.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
180.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
180.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
179.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
179.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
178.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
178.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
178.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
178.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
177.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
177.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
177.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
176.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
176.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
176.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
176.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
175.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
175.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
174.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
173.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
173.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
173.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
172.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
172.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
172.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
172.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
172.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
172.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
172.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
171.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
171.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
171.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
171.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
170.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
170.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
169.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
169.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
169.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
168.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
168.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
168.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
168.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
168.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
167.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
166.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
165.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
165.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
164.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
164.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
164.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
164.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
163.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
163.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
163.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
162.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
162.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
161.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
161.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
161.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
161.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
160.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
160.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
159.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
159.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
157.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
156.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
155.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
155.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
155.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
155.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
154.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
154.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
154.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
154.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
154.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
154.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
154.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
153.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
153.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
153.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
152.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
152.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
151.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
151.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
151.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
151.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
151.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
150.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
150.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
149.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
149.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
148.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
148.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
148.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
148.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
148.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
147.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
147.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
147.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
146.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
146.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
145.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
145.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
144.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
144.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
144.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
143.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
143.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
142.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
142.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
141.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
141.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
141.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
141.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
141.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
141.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
140.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
140.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
140.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
139.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
139.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
139.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
139.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
139.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
138.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
138.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
138.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
137.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
137.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
136.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
136.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
135.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
135.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
135.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
135.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
134.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
134.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
134.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
134.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
134.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
133.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
133.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
133.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
133.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
132.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
132.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
131.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
131.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
131.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
130.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
130.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
130.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
130.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
130.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
129.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
129.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
129.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
128.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
128.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
127.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
127.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
126.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
125.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
125.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
125.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
125.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
124.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
124.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
124.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
124.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
124.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
124.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
122.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
122.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
122.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
122.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
121.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
121.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
121.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
120.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
120.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
120.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
119.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
119.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
119.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
118.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
118.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
117.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
117.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
116.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
114.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
114.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
114.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
114.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
113.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
112.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
112.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
112.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
112.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
112.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
112.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
111.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
111.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
111.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
110.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
110.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
110.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
110.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
110.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
109.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
109.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
109.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
107.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
106.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
106.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
105.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
105.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
105.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
104.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
104.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
104.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
104.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
103.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
103.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
103.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
102.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
102.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
101.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
101.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
101.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
101.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
100.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
100.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
100.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
100.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
100.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
99.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
98.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
98.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
96.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
96.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
96.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
94.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
94.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
93.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
92.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
92.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
92.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
91.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
90.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
90.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
89.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
88.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
87.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
87.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
87.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
87.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
82.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
80.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
79.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
77.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
75.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
70.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
67.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
64.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
17.6
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.
ITGA6 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
86.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
219.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
215.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
211.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
183.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
159.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
155.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
151.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
144.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
144.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
143.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
140.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
137.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
136.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
127.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
126.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
125.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
123.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
121.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
118.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
117.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
115.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
112.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
111.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
107.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
100.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
97.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
97.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
96.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
93.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
92.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
89.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
87.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
84.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
84.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
83.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
82.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
80.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
80.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
80.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
79.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
73.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
73.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
73.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
73.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
71.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
70.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
70.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
70.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
70.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
70.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
68.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
68.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
64.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
62.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
58.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
54.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
51.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
50.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
46.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
43.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
39.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITGA6 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
168.0
Number of samples
207
Samples
Sample
Description
TPM
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
464.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
349.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
333.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
327.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
320.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
319.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
313.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
312.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
307.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
288.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
288.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
284.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
277.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
276.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
273.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
271.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
266.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
265.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
262.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
261.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
256.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
254.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
252.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
246.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
245.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
244.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
242.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
240.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
238.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
235.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
235.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
232.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
230.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
230.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
227.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
227.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
225.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
225.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
224.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
224.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
222.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
220.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
220.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
220.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
219.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
218.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
218.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
214.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
213.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
213.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
212.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
211.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
211.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
207.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
205.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
203.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
200.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
200.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
200.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
199.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
198.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
197.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
197.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
196.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
194.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
194.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
194.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
193.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
193.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
192.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
187.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
187.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
186.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
185.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
184.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
184.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
183.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
183.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
182.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
182.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
181.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
181.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
180.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
179.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
179.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
176.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
174.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
172.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
171.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
170.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
169.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
168.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
167.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
164.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
162.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
162.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
161.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
161.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
160.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
159.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
156.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
155.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
155.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
154.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
151.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
150.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
150.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
150.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
150.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
148.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
147.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
147.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
147.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
146.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
146.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
144.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
142.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
141.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
141.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
140.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
140.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
139.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
138.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
138.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
137.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
136.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
136.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
132.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
132.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
131.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
131.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
130.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
130.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
129.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
129.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
129.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
128.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
128.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
127.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
127.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
127.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
126.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
126.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
125.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
124.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
123.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
123.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
123.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
122.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
121.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
121.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
120.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
120.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
119.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
118.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
118.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
117.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
117.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
117.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
117.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
116.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
116.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
116.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
116.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
115.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
115.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
114.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
113.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
113.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
111.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
111.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
111.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
109.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
107.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
107.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
105.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
105.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
104.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
102.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
101.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
99.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
99.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
98.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
97.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
96.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
96.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
93.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
92.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
91.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
90.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
89.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
87.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
87.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
87.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
86.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
82.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
80.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
77.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
76.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
74.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
73.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
72.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
72.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
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Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
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Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
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Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
