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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.
PAICS 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
91.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
293.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
187.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
182.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
181.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
177.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
175.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
173.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
170.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
168.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
168.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
152.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
151.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
150.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
149.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
147.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
147.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
145.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
145.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
143.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
143.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
143.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
137.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
136.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
135.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
135.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
132.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
132.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
131.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
131.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
130.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
127.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
127.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
127.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
126.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
126.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
125.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
124.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
124.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
122.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
122.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
121.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
121.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
121.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
121.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
119.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
118.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
118.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
117.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
117.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
117.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
117.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
116.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
115.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
115.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
114.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
114.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
114.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
113.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
113.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
113.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
113.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
113.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
112.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
112.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
112.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
111.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
110.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
110.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
109.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
109.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
109.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
108.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
107.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
107.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
107.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
106.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
106.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
106.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
106.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
105.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
105.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
104.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
104.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
103.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
102.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
101.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
101.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
101.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
101.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
100.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
100.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
100.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
99.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
98.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
98.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
98.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
97.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
97.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
97.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
97.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
96.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
96.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
96.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
96.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
95.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
95.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
95.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
94.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
94.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
94.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
94.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
92.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
92.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
92.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
91.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
91.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
91.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
91.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
90.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
90.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
89.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
89.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
88.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
88.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
88.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
88.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
88.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
88.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
87.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
87.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
86.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
86.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
86.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
85.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
85.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
85.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
85.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
85.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
84.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
84.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
83.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
83.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
82.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
82.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
82.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
80.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
80.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
80.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
79.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
78.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
78.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
78.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
77.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
77.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
77.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
76.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
75.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
75.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
74.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
73.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
73.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
72.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
72.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
72.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
71.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
71.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
70.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
70.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
69.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
69.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
69.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
69.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
69.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
68.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
67.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
66.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
65.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
65.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
64.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
64.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
63.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
62.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
61.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
60.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
59.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
59.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
59.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
58.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
58.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
58.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
58.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
58.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
57.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
56.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
54.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
50.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
49.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
48.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
46.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
46.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
44.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
44.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
41.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
36.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
PAICS 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
89.6
Number of samples
486
Samples
Sample
Description
TPM
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
327.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
231.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
205.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
199.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
197.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
194.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
190.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
189.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
189.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
182.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
177.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
170.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
169.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
168.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
162.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
162.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
156.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
153.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
152.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
152.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
150.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
150.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
149.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
145.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
143.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
142.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
141.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
140.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
139.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
138.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
136.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
136.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
134.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
134.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
133.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
133.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
132.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
132.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
130.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
130.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
130.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
130.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
128.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
128.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
128.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
128.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
128.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
127.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
127.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
127.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
126.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
126.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
125.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
125.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
124.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
124.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
124.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
123.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
123.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
123.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
122.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
122.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
122.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
122.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
122.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
121.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
120.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
120.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
119.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
119.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
119.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
119.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
119.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
118.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
118.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
117.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
117.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
117.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
117.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
117.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
116.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
116.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
116.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
116.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
115.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
115.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
114.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
114.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
114.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
113.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
113.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
113.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
112.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
112.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
112.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
112.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
112.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
112.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
111.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
111.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
110.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
110.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
110.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
110.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
109.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
109.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
108.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
108.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
108.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
108.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
108.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
107.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
107.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
107.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
107.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
106.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
105.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
105.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
105.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
104.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
104.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
104.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
104.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
103.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
103.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
103.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
103.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
103.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
103.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
103.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
103.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
103.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
103.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
102.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
102.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
102.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
102.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
102.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
101.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
101.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
101.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
101.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
101.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
101.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
100.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
100.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
100.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
100.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
100.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
100.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
99.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
99.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
99.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
99.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
98.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
98.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
98.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
98.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
98.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
98.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
97.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
97.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
97.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
97.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
97.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
96.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
96.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
95.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
95.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
95.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
95.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
95.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
95.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
94.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
94.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
94.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
94.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
94.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
94.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
93.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
93.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
93.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
93.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
93.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
93.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
93.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
93.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
92.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
92.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
92.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
92.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
91.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
91.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
91.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
91.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
91.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
91.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
90.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
90.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
90.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
89.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
89.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
89.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
89.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
88.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
88.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
87.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
87.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
87.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
87.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
87.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
87.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
86.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
86.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
86.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
86.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
86.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
86.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
86.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
85.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
85.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
85.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
85.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
85.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
85.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
84.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
84.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
84.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
84.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
83.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
83.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
83.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
83.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
82.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
82.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
82.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
81.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
81.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
81.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
81.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
80.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
80.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
79.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
79.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
79.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
79.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
79.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
78.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
78.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
78.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
78.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
78.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
78.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
78.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
77.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
77.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
77.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
77.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
77.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
76.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
76.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
76.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
75.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
75.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
75.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
75.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
74.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
74.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
74.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
74.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
74.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
73.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
73.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
72.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
72.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
72.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
72.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
72.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
71.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
71.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
70.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
70.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
70.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
69.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
69.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
69.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
68.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
68.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
68.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
65.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
64.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
63.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
63.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
62.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
61.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
61.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
61.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
60.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
59.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
59.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
59.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
57.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
56.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
55.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
55.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
55.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
50.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
50.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
47.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
44.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
40.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.0
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.
PAICS is potential prognostic, high expression is favorable 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
90.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
208.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
180.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
178.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
173.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
162.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
159.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
156.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
147.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
146.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
141.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
138.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
133.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
133.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
132.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
125.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
123.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
122.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
122.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
120.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
117.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
116.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
116.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
114.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
113.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
113.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
111.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
110.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
102.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
97.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
97.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
95.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
94.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
91.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
89.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
89.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
88.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
86.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
86.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
86.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
83.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
83.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
81.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
80.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
80.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
80.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
77.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
76.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
74.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
73.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
72.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
69.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
69.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
68.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
66.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
66.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
65.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
64.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
63.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
60.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
60.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
56.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
50.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
44.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
34.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PAICS 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
77.3
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
195.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
186.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
185.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
161.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
158.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
146.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
138.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
135.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
130.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
129.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
128.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
127.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
127.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
125.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
123.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
122.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
119.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
118.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
117.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
117.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
117.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
115.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
114.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
109.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
109.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
107.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
107.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
106.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
106.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
106.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
105.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
104.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
102.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
102.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
100.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
100.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
99.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
98.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
98.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
98.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
98.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
97.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
96.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
94.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
94.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
93.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
93.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
93.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
93.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
92.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
92.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
92.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
92.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
91.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
90.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
90.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
90.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
89.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
88.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
88.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
87.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
86.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
86.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
85.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
85.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
84.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
83.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
82.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
82.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
80.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
80.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
79.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
78.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
78.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
77.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
77.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
77.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
77.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
75.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
75.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
75.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
75.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
74.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
74.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
73.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
73.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
71.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
71.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
71.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
70.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
68.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
68.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
68.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
67.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
67.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
67.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
66.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
66.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
66.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
65.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
65.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
65.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
64.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
63.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
61.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
60.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
59.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
58.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
57.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
55.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
54.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
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
