We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PKP3 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
76.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
203.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
179.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
170.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
158.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
146.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
141.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
131.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
131.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
131.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
129.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
129.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
128.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
123.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
118.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
117.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
117.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
114.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
113.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
112.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
111.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
111.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
111.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
111.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
111.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
110.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
108.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
107.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
106.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
106.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
105.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
105.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
105.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
104.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
103.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
103.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
103.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
102.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
102.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
102.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
102.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
101.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
100.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
100.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
100.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
100.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
99.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
99.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
98.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
98.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
98.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
97.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
97.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
97.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
97.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
97.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
97.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
97.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
97.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
96.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
95.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
95.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
95.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
94.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
94.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
94.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
94.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
92.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
92.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
91.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
90.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
89.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
88.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
88.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
87.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
86.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
86.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
86.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
86.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
86.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
86.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
86.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
85.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
85.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
83.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
83.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
82.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
82.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
82.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
82.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
81.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
81.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
81.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
80.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
80.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
80.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
80.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
79.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
79.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
79.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
79.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
78.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
76.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
76.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
76.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
76.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
75.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
75.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
74.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
74.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
73.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
73.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
73.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
73.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
73.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
72.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
72.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
72.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
72.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
72.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
72.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
71.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
70.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
70.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
70.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
69.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
69.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
69.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
68.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
68.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
67.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
67.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
67.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
66.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
66.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
65.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
65.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
65.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
65.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
64.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
64.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
64.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
63.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
63.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
62.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
62.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
62.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
62.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
61.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
61.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
60.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
59.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
59.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
59.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
59.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
58.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
58.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
58.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
56.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
55.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
54.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
48.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
48.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
47.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
47.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
47.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
47.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
46.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
40.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
27.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
26.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.9
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.
PKP3 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
48.6
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
108.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
101.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
93.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
91.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
89.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
88.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
84.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
83.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
82.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
80.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
78.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
77.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
76.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
75.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
75.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
75.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
75.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
74.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
73.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
72.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
72.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
71.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
71.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
71.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
69.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
69.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
69.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
68.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
66.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
64.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
63.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
62.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
62.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
61.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
60.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
60.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
60.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
59.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
59.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
57.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
57.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
56.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
56.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
55.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
55.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
53.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
53.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
50.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
49.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
49.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
49.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
48.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
48.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
45.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
42.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
41.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
39.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
33.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
28.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
28.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
25.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
23.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
23.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
22.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
21.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
21.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
20.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
19.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
16.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
12.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PKP3 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
69.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
125.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
120.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
116.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
114.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
108.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
100.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
98.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
98.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
97.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
97.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
92.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
92.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
88.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
88.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
87.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
85.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
84.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
84.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
84.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
84.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
83.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
82.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
81.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
80.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
77.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
75.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
75.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
74.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
72.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
69.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
69.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
68.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
68.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
67.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
65.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
65.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
62.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
61.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
60.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
59.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
59.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
56.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
54.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
52.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
50.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
47.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
47.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
PKP3 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
45.6
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
122.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
101.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
81.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
78.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
75.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
71.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
69.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
67.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
66.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
65.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
62.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
60.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
58.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
58.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
51.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
51.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
33.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
30.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
29.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
29.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
21.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
21.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
18.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
18.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
17.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
14.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.