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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.
PLEC 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
52.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
242.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
234.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
197.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
196.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
187.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
161.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
137.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
126.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
124.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
124.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
120.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
117.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
114.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
110.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
106.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
105.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
104.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
104.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
101.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
98.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
97.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
95.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
94.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
93.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
88.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
88.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
86.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
85.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
84.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
83.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
82.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
81.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
80.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
79.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
76.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
75.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
74.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
73.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
71.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
71.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
69.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
69.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
67.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
66.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
66.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
66.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
66.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
64.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
64.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
63.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
63.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
62.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
61.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
60.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
59.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
58.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
57.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
57.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
55.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
54.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
53.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
53.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
53.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
52.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
51.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
50.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
50.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
50.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
50.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
49.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
48.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
47.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
46.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
45.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
45.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
45.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
43.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
43.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
43.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
43.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
41.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
41.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
40.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
39.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
39.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
38.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
36.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
34.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
33.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
31.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
30.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
29.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
27.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
26.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
26.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
26.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
25.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
24.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
23.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
21.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
20.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
15.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
PLEC 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
122.4
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
764.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
564.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
367.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
341.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
334.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
316.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
302.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
298.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
288.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
280.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
276.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
274.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
264.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
258.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
256.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
254.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
251.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
241.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
241.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
231.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
225.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
224.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
219.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
217.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
215.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
211.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
211.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
210.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
209.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
209.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
208.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
205.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
201.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
201.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
200.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
198.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
196.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
195.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
192.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
191.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
190.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
187.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
186.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
184.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
183.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
182.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
182.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
181.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
180.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
179.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
179.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
179.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
177.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
176.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
176.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
175.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
175.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
172.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
171.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
170.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
169.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
169.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
168.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
168.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
167.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
167.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
167.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
166.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
166.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
166.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
166.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
166.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
165.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
165.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
164.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
164.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
164.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
163.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
162.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
160.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
159.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
159.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
158.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
158.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
158.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
158.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
158.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
157.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
157.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
156.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
155.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
155.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
155.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
154.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
153.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
153.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
153.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
152.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
152.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
151.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
151.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
150.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
150.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
150.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
149.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
149.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
149.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
149.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
148.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
148.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
148.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
148.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
148.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
147.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
147.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
145.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
145.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
145.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
144.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
144.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
144.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
144.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
144.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
144.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
144.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
144.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
143.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
143.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
143.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
142.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
141.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
141.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
140.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
139.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
139.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
138.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
138.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
138.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
137.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
136.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
136.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
135.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
135.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
135.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
134.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
134.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
134.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
133.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
133.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
133.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
132.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
132.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
132.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
132.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
131.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
131.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
131.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
131.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
130.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
129.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
129.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
128.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
128.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
128.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
128.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
127.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
127.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
127.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
127.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
126.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
126.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
126.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
126.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
125.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
125.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
125.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
125.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
125.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
125.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
124.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
123.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
123.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
123.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
123.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
122.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
121.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
121.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
121.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
121.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
120.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
120.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
120.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
120.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
119.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
119.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
118.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
118.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
117.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
117.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
117.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
117.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
117.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
117.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
116.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
116.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
116.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
116.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
115.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
115.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
115.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
115.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
114.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
114.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
114.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
114.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
113.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
113.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
113.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
112.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
112.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
112.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
112.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
112.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
112.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
111.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
111.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
111.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
111.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
111.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
111.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
111.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
110.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
110.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
110.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
110.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
110.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
109.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
109.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
109.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
109.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
109.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
109.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
108.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
108.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
108.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
108.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
108.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
108.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
108.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
108.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
107.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
107.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
107.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
107.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
107.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
107.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
106.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
106.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
106.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
106.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
106.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
106.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
106.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
106.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
105.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
104.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
104.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
104.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
104.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
104.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
104.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
104.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
103.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
103.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
103.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
102.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
102.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
101.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
101.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
101.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
101.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
101.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
101.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
101.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
100.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
100.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
100.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
100.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
100.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
99.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
99.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
99.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
99.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
99.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
98.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
98.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
98.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
98.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
98.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
97.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
97.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
97.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
97.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
97.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
97.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
96.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
96.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
96.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
96.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
96.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
95.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
95.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
94.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
94.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
94.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
94.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
94.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
94.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
94.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
93.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
93.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
93.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
93.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
93.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
93.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
93.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
92.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
92.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
92.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
91.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
91.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
91.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
91.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
90.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
90.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
90.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
90.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
89.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
89.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
89.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
89.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
88.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
88.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
87.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
86.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
86.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
86.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
86.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
85.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
85.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
85.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
85.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
84.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
84.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
84.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
84.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
83.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
82.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
82.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
82.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
81.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
81.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
81.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
81.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
81.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
79.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
79.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
79.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
79.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
78.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
78.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
78.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
77.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
77.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
77.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
77.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
76.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
75.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
75.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
75.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
74.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
74.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
74.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
73.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
72.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
72.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
72.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
72.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
72.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
72.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
71.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
69.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
69.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
69.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
68.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
66.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
66.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
64.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
63.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
63.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
63.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
59.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
58.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
57.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
52.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
51.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
44.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLEC 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
43.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
156.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
106.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
105.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
77.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
77.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
76.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
73.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
59.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
56.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
55.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
53.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
53.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
51.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
50.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
50.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
47.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
46.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
38.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
38.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
38.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
37.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
34.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
32.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
32.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
22.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
20.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
19.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
PLEC is potential prognostic, high expression is favorable 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
102.6
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
317.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
279.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
250.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
221.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
198.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
193.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
192.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
178.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
176.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
172.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
169.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
169.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
167.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
166.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
166.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
163.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
161.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
156.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
155.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
155.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
150.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
150.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
149.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
149.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
148.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
144.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
144.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
139.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
138.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
138.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
138.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
135.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
134.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
134.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
134.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
134.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
133.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
133.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
133.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
132.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
132.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
131.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
131.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
130.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
128.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
126.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
125.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
124.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
124.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
124.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
123.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
123.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
120.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
119.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
118.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
117.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
117.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
117.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
116.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
115.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
115.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
113.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
113.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
113.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
111.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
111.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
111.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
110.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
110.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
110.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
109.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
109.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
109.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
108.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
108.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
108.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
107.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
107.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
106.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
104.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
104.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
104.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
103.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
102.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
102.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
101.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
100.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
99.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
98.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
98.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
98.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
98.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
97.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
97.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
96.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
96.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
95.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
95.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
95.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
94.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
94.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
94.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
93.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
93.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
92.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
92.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
92.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
91.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
91.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
91.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
91.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
91.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
90.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
90.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
90.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
90.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
89.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
89.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
88.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
86.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
86.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
86.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
86.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
85.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
85.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
85.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
84.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
84.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
83.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
82.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
81.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
81.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
81.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
80.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
80.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
80.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
79.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
79.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
79.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
78.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
78.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
77.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
77.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
76.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
75.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
75.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
74.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
72.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
71.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
70.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
69.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
69.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
69.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
68.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
68.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
66.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
66.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
65.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
65.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
64.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
64.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
63.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
57.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
54.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
53.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
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Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
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Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
