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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.
LAMP2 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
40.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
107.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
99.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
98.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
90.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
83.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
77.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
74.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
69.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
68.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
68.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
68.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
67.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
67.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
66.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
65.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
65.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
63.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
62.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
61.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
61.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
61.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
60.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
60.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
59.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
58.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
57.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
56.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
55.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
54.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
53.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
53.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
53.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
51.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
51.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
51.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
50.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
49.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
46.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
45.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
45.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
45.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
44.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
44.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
43.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
43.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
43.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
43.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
42.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
42.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
41.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
41.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
40.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
39.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
38.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
38.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
38.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
35.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
33.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
33.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
32.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
31.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
30.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
29.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
27.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
26.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
26.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
25.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
25.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
24.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
23.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
21.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
20.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
19.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
19.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
18.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 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.
LAMP2 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
44.7
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
128.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
113.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
110.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
107.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
103.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
98.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
93.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
87.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
83.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
82.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
81.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
81.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
81.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
79.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
78.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
75.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
73.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
73.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
72.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
72.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
70.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
70.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
69.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
69.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
67.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
67.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
62.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
62.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
61.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
60.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
59.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
57.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
57.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
56.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
54.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
53.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
52.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
50.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
50.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
48.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
47.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
46.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
45.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
45.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
45.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
42.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
41.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
40.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
39.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
36.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
36.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
35.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
34.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
34.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
34.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
33.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
33.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
33.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
32.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
32.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
31.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
31.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
30.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
30.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
30.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
29.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
29.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
28.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
28.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
28.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
27.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
27.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
26.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
25.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
24.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
23.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
23.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
22.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
21.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
18.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
17.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.1
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.
LAMP2 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
47.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
120.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
110.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
94.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
91.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
81.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
80.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
78.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
77.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
72.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
72.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
71.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
63.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
58.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
57.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
54.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
51.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
50.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
47.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
47.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
41.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
41.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
41.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
40.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
40.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
40.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
38.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
35.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
31.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
31.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
22.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMP2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
43.9
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
129.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
111.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
90.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
86.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
79.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
78.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
70.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
70.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
69.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
66.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
63.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
62.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
59.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
59.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
54.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
47.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
41.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
35.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
33.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
31.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
28.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
27.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
22.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
21.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
21.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
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Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
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Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
