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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.
KRTCAP3 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
89.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
254.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
201.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
192.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
190.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
187.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
179.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
168.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
166.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
166.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
158.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
158.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
157.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
153.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
150.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
150.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
148.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
145.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
144.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
143.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
142.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
137.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
137.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
137.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
136.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
136.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
135.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
134.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
134.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
132.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
131.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
131.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
130.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
128.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
128.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
125.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
125.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
124.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
124.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
124.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
123.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
122.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
120.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
120.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
119.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
119.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
119.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
119.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
118.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
117.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
117.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
117.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
117.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
116.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
116.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
116.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
116.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
115.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
115.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
114.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
114.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
114.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
112.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
111.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
111.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
108.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
108.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
108.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
108.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
107.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
107.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
107.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
107.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
107.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
107.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
107.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
106.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
106.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
105.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
105.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
104.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
103.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
103.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
102.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
101.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
99.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
99.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
98.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
98.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
98.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
98.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
97.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
97.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
97.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
97.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
97.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
96.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
96.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
96.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
95.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
95.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
95.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
95.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
95.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
94.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
92.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
92.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
92.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
92.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
92.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
92.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
91.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
91.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
91.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
91.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
90.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
90.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
90.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
90.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
88.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
88.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
88.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
87.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
87.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
87.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
86.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
86.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
86.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
85.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
85.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
84.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
84.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
83.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
83.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
83.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
82.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
80.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
79.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
78.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
78.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
78.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
78.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
78.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
78.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
77.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
77.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
77.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
77.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
77.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
75.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
75.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
75.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
74.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
73.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
73.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
72.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
72.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
72.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
72.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
72.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
72.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
72.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
72.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
71.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
71.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
71.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
70.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
70.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
69.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
69.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
68.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
67.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
67.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
66.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
65.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
65.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
64.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
63.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
62.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
59.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
58.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
58.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
57.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
57.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
56.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
55.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
54.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
53.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
50.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
48.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
39.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
35.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
35.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
33.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
31.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
KRTCAP3 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
44.6
Number of samples
486
Samples
Sample
Description
TPM
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
100.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
98.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
97.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
95.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
90.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
83.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
80.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
79.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
78.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
75.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
74.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
73.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
73.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
72.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
72.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
69.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
69.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
68.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
67.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
67.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
66.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
64.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
64.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
63.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
63.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
62.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
61.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
61.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
61.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
61.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
61.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
60.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
59.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
57.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
56.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
54.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
53.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
51.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
51.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
51.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
50.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
49.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
47.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
46.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
46.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
45.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
43.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
42.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
42.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
41.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
41.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
41.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
39.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
38.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
37.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
37.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
36.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
36.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
33.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
33.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
32.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
31.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
31.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
31.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
31.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
31.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
30.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
30.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
29.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
29.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
29.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
29.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
29.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
28.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
28.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
28.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
27.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
27.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
27.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
27.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
25.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
23.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
22.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
21.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
21.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
20.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
20.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
20.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
19.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
18.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
17.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
15.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
14.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
13.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
9.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
9.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
8.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
5.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
4.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KRTCAP3 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
80.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
226.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
147.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
138.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
138.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
136.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
134.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
122.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
121.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
110.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
109.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
106.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
102.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
102.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
102.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
101.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
100.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
97.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
96.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
96.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
92.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
92.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
92.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
91.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
90.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
90.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
89.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
88.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
88.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
87.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
86.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
86.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
86.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
85.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
82.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
82.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
80.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
75.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
75.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
75.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
74.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
74.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
72.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
69.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
66.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
66.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
66.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
62.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
61.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
60.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
59.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
58.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
57.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
56.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
56.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
55.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
54.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
51.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
37.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
28.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 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.
KRTCAP3 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
36.5
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
78.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
77.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
65.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
60.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
60.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
54.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
50.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
50.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
49.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
45.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
44.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
36.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
33.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
32.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
32.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
31.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
29.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
29.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
29.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
27.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
26.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
25.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
24.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
24.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
23.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
23.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
21.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
21.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
20.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
20.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
19.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
18.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
18.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
17.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
16.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
16.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
14.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
13.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
5.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.5
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
