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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.
FUT3 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
85.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
518.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
290.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
253.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
205.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
201.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
197.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
177.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
174.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
173.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
173.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
166.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
159.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
156.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
154.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
153.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
153.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
151.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
148.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
147.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
146.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
144.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
143.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
141.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
139.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
138.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
136.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
135.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
134.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
130.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
129.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
129.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
128.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
127.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
127.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
126.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
126.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
124.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
124.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
124.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
124.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
124.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
124.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
124.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
123.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
122.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
122.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
122.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
122.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
121.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
120.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
119.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
118.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
118.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
117.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
117.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
116.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
114.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
114.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
114.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
113.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
113.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
112.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
112.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
111.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
109.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
109.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
109.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
109.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
109.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
108.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
108.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
107.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
106.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
106.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
105.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
105.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
104.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
104.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
103.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
103.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
102.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
101.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
101.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
100.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
99.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
97.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
96.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
96.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
96.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
96.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
96.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
96.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
95.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
95.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
94.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
92.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
91.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
90.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
90.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
90.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
89.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
89.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
89.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
88.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
88.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
88.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
88.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
88.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
88.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
87.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
85.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
85.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
84.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
84.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
84.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
83.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
83.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
81.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
81.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
81.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
79.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
79.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
78.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
78.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
78.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
78.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
77.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
76.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
76.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
76.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
74.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
73.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
72.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
72.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
72.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
72.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
72.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
71.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
71.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
71.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
70.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
70.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
69.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
69.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
69.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
68.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
67.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
66.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
64.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
64.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
63.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
63.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
63.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
63.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
62.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
62.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
60.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
60.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
60.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
58.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
57.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
57.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
54.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
54.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
52.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
51.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
48.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
45.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
45.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
44.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
39.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
39.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
36.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
32.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
28.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
26.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
25.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
25.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
20.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
20.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
4.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
3.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
FUT3 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
100.9
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
344.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
303.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
279.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
260.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
239.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
218.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
216.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
206.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
204.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
199.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
194.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
194.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
193.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
193.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
189.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
188.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
187.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
187.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
186.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
181.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
178.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
177.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
177.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
176.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
175.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
175.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
175.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
174.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
174.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
171.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
170.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
170.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
170.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
170.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
169.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
169.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
167.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
165.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
163.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
161.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
160.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
159.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
159.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
158.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
157.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
157.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
155.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
155.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
154.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
152.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
152.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
151.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
151.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
151.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
151.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
150.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
150.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
149.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
148.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
147.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
147.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
147.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
147.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
146.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
146.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
145.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
145.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
145.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
145.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
144.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
144.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
144.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
143.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
143.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
143.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
143.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
142.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
142.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
142.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
142.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
141.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
141.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
140.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
140.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
140.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
139.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
139.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
139.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
139.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
138.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
138.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
138.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
138.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
138.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
136.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
136.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
135.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
134.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
134.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
134.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
133.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
133.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
132.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
131.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
131.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
131.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
131.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
130.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
130.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
129.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
129.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
129.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
129.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
129.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
129.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
129.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
128.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
128.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
128.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
128.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
128.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
127.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
127.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
127.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
127.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
126.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
126.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
126.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
126.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
126.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
126.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
125.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
125.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
125.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
125.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
124.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
124.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
123.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
123.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
123.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
123.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
123.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
122.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
122.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
122.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
121.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
121.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
121.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
119.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
119.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
119.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
119.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
119.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
119.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
118.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
118.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
117.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
117.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
117.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
117.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
116.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
115.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
115.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
115.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
115.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
114.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
114.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
114.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
114.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
114.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
114.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
113.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
113.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
113.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
113.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
113.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
113.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
113.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
113.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
112.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
111.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
111.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
111.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
111.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
111.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
111.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
110.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
110.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
110.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
110.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
110.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
109.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
109.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
109.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
109.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
108.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
108.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
108.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
108.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
108.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
108.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
107.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
107.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
106.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
106.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
105.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
105.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
104.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
104.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
104.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
104.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
104.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
103.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
103.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
103.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
103.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
102.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
102.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
102.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
102.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
102.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
101.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
101.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
101.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
101.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
101.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
101.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
101.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
100.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
100.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
100.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
99.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
99.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
99.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
99.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
99.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
99.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
99.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
98.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
98.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
97.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
97.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
97.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
97.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
97.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
97.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
97.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
96.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
96.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
96.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
96.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
96.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
96.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
96.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
96.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
96.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
96.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
95.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
95.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
95.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
94.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
94.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
94.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
94.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
93.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
93.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
92.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
92.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
92.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
92.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
91.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
91.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
91.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
90.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
90.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
90.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
89.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
89.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
89.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
89.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
89.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
89.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
88.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
88.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
88.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
87.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
87.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
86.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
86.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
86.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
85.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
84.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
84.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
84.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
84.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
84.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
84.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
83.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
82.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
81.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
80.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
80.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
80.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
80.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
80.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
79.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
79.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
79.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
79.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
79.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
79.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
78.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
78.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
78.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
77.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
77.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
77.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
77.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
76.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
76.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
76.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
76.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
75.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
75.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
74.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
74.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
73.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
73.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
72.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
72.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
70.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
70.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
68.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
68.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
68.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
67.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
66.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
65.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
64.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
64.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
57.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
55.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
55.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
51.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
48.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
39.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
33.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
30.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
29.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
28.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
27.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
25.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
24.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
23.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
22.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
22.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
22.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
22.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
17.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
16.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
16.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
15.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
11.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
11.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
6.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
5.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
3.4
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.
FUT3 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
73.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
149.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
146.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
142.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
139.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
137.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
137.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
129.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
129.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
129.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
128.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
125.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
118.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
117.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
111.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
109.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
106.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
106.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
103.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
102.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
100.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
98.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
93.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
92.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
92.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
92.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
91.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
90.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
88.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
87.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
87.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
87.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
84.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
82.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
80.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
77.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
76.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
72.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
69.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
68.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
67.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
67.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
67.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
66.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
65.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
60.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
59.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
58.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
55.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
52.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
49.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
45.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
40.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
39.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
33.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 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.
FUT3 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
86.5
Number of samples
207
Samples
Sample
Description
TPM
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
221.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
221.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
219.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
203.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
188.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
184.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
166.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
166.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
165.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
164.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
154.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
153.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
147.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
139.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
139.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
139.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
138.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
137.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
135.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
135.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
133.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
130.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
130.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
130.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
129.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
128.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
128.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
128.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
126.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
124.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
124.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
124.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
123.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
122.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
121.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
120.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
118.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
117.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
116.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
115.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
115.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
114.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
114.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
113.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
112.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
112.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
111.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
111.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
111.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
110.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
110.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
109.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
107.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
106.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
106.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
105.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
104.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
103.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
102.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
102.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
102.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
102.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
102.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
102.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
102.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
101.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
100.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
100.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
100.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
100.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
99.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
97.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
95.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
95.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
95.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
94.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
94.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
94.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
94.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
94.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
93.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
92.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
92.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
92.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
91.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
90.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
90.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
90.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
88.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
87.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
86.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
86.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
85.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
85.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
85.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
85.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
85.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
83.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
83.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
83.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
82.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
82.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
81.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
81.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
81.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
79.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
79.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
77.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
77.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
75.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
74.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
74.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
73.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
72.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
70.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
69.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
68.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
67.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
66.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
65.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
63.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
59.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
56.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
45.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
39.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
33.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
14.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
11.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
11.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
5.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
1.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
