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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PGD 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
81.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
207.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
196.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
175.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
164.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
159.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
156.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
146.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
145.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
141.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
139.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
137.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
133.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
132.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
132.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
131.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
128.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
128.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
127.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
127.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
125.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
125.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
125.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
124.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
124.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
124.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
124.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
120.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
120.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
119.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
118.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
117.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
116.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
116.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
115.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
115.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
115.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
115.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
114.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
113.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
110.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
108.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
108.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
107.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
107.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
106.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
106.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
105.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
104.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
103.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
103.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
102.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
102.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
102.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
102.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
101.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
100.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
100.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
99.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
98.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
97.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
97.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
97.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
97.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
97.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
96.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
96.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
96.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
96.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
96.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
95.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
95.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
95.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
94.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
94.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
94.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
94.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
94.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
94.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
94.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
94.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
93.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
93.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
93.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
93.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
92.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
92.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
91.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
90.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
90.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
89.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
89.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
89.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
89.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
88.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
87.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
87.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
87.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
87.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
87.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
87.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
86.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
86.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
86.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
85.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
84.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
83.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
83.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
82.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
82.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
82.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
82.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
82.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
82.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
81.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
81.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
81.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
80.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
80.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
80.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
79.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
79.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
78.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
78.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
77.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
77.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
77.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
75.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
75.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
75.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
74.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
74.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
74.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
74.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
74.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
74.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
74.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
72.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
71.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
71.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
70.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
69.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
68.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
68.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
67.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
67.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
67.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
67.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
67.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
66.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
65.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
65.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
65.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
65.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
64.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
64.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
64.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
63.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
63.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
63.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
60.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
60.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
60.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
59.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
58.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
57.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
57.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
57.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
57.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
56.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
56.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
56.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
55.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
55.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
54.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
54.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
53.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
52.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
52.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
50.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
49.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
48.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
48.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
48.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
48.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
47.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
47.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
46.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
39.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
38.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
32.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
29.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 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.
PGD 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
84.7
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
286.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
259.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
192.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
183.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
181.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
173.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
172.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
170.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
169.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
169.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
164.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
157.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
155.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
153.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
151.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
151.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
151.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
148.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
147.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
146.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
146.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
145.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
144.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
144.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
143.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
142.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
141.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
141.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
139.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
137.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
137.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
136.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
136.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
134.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
134.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
132.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
132.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
130.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
129.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
128.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
128.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
127.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
125.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
124.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
123.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
122.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
122.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
122.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
122.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
121.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
121.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
120.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
120.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
119.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
119.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
118.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
118.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
117.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
117.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
116.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
116.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
115.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
115.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
114.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
114.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
114.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
114.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
113.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
113.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
113.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
113.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
112.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
112.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
112.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
111.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
111.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
111.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
110.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
110.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
110.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
109.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
109.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
108.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
108.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
108.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
107.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
107.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
107.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
107.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
107.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
106.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
106.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
106.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
106.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
105.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
105.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
105.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
104.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
104.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
104.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
103.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
103.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
103.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
103.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
102.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
102.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
102.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
102.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
101.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
101.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
101.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
101.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
101.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
100.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
100.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
100.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
99.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
99.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
99.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
99.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
99.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
98.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
98.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
98.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
98.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
98.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
97.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
97.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
96.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
96.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
96.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
95.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
95.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
95.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
95.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
94.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
93.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
93.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
93.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
93.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
93.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
93.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
93.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
93.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
93.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
93.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
92.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
92.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
92.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
91.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
91.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
91.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
91.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
90.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
90.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
90.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
90.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
89.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
89.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
89.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
89.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
88.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
88.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
88.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
88.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
88.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
88.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
88.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
87.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
87.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
87.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
87.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
87.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
86.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
86.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
86.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
86.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
86.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
86.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
86.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
85.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
85.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
85.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
85.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
85.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
85.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
85.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
84.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
84.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
84.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
84.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
84.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
84.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
84.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
83.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
83.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
83.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
83.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
83.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
82.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
82.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
81.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
81.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
81.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
81.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
81.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
80.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
79.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
79.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
79.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
79.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
78.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
78.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
78.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
78.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
78.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
77.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
77.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
76.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
76.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
75.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
75.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
75.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
74.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
74.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
74.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
73.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
73.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
73.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
72.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
72.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
72.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
72.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
71.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
71.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
71.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
71.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
71.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
71.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
70.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
70.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
70.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
70.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
69.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
69.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
69.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
69.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
68.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
68.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
67.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
67.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
66.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
66.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
65.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
64.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
64.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
64.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
63.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
63.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
59.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
58.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
58.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
57.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
57.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
49.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PGD 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
74.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
209.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
173.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
169.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
162.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
146.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
136.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
135.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
128.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
121.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
121.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
120.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
119.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
118.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
110.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
100.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
100.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
97.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
95.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
94.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
92.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
92.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
91.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
88.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
86.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
84.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
83.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
81.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
80.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
76.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
75.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
74.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
73.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
70.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
69.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
68.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
67.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
67.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
65.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
63.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
60.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
59.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
55.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
52.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
51.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
51.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
50.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
48.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
42.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
40.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
24.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
PGD 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
73.0
Number of samples
207
Samples
Sample
Description
TPM
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
169.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
152.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
143.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
141.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
139.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
134.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
134.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
134.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
133.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
132.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
131.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
130.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
128.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
126.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
126.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
124.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
116.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
113.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
113.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
113.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
111.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
107.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
107.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
107.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
107.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
106.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
105.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
104.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
102.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
102.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
99.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
99.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
99.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
98.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
98.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
97.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
97.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
95.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
95.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
95.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
94.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
93.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
90.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
90.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
89.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
89.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
88.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
87.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
86.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
85.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
84.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
84.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
83.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
82.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
82.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
82.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
82.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
81.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
80.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
79.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
78.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
78.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
77.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
77.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
77.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
76.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
76.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
76.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
74.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
73.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
72.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
72.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
72.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
71.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
71.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
70.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
69.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
68.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
67.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
65.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
65.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
65.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
64.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
63.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
63.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
58.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
57.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
56.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
54.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
51.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
49.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
47.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
46.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
45.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
42.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
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Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
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Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
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Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
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Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
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Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
