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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.
LYPLA1 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
61.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
218.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
185.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
180.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
172.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
164.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
161.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
156.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
153.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
153.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
145.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
141.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
137.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
136.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
133.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
131.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
126.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
121.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
116.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
116.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
114.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
111.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
109.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
108.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
107.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
104.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
100.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
99.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
97.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
95.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
94.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
94.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
92.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
91.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
89.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
86.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
85.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
84.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
83.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
83.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
82.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
82.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
82.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
81.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
80.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
78.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
78.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
77.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
77.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
77.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
77.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
76.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
76.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
75.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
74.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
72.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
72.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
71.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
71.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
71.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
70.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
70.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
70.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
70.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
69.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
69.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
68.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
68.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
68.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
67.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
67.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
65.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
65.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
65.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
64.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
64.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
63.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
63.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
63.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
61.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
61.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
60.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
60.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
60.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
59.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
59.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
59.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
58.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
57.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
57.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
55.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
54.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
54.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
54.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
53.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
53.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
52.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
52.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
52.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
51.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
51.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
49.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
48.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
48.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
48.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
47.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
47.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
44.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
44.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
44.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
43.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
43.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
42.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
40.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
39.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
36.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
34.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
33.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
32.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
31.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
29.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
27.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
24.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
20.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LYPLA1 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
56.0
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
183.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
155.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
145.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
133.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
126.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
124.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
124.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
123.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
122.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
121.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
121.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
120.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
114.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
108.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
108.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
108.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
108.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
105.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
105.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
103.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
98.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
98.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
97.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
96.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
94.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
94.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
93.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
93.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
90.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
87.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
87.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
87.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
87.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
87.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
86.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
84.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
84.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
82.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
80.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
80.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
79.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
79.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
78.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
78.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
78.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
76.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
75.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
74.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
74.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
74.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
73.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
73.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
73.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
73.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
72.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
71.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
71.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
70.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
70.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
69.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
69.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
69.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
68.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
67.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
66.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
66.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
65.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
65.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
64.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
64.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
64.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
63.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
62.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
61.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
61.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
61.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
61.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
61.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
60.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
60.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
57.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
56.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
55.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
55.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
55.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
55.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
55.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
52.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
52.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
51.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
50.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
50.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
47.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
46.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
43.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
43.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
36.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
30.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
28.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
26.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
26.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
21.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LYPLA1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
69.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
186.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
179.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
171.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
161.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
149.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
137.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
128.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
114.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
114.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
113.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
112.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
109.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
97.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
95.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
94.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
90.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
90.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
89.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
88.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
86.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
85.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
78.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
77.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
76.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
75.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
75.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
74.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
72.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
70.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
68.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
67.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
65.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
63.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
61.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
59.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
53.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
53.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
45.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
41.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
38.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
30.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
17.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LYPLA1 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
53.5
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
179.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
122.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
118.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
109.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
107.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
100.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
99.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
97.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
94.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
93.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
92.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
92.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
85.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
83.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
82.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
79.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
77.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
76.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
76.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
76.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
72.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
69.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
69.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
68.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
67.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
67.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
65.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
65.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
64.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
63.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
63.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
62.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
61.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
58.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
58.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
54.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
50.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
49.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
46.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
46.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
44.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
39.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
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Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.8
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.5
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
