Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases | Zendy

Vincent Martin | Zendy; Katharina Perell | Zendy; Finn Cilius Nielsen | Zendy; Gedske Daugaard | Zendy; Niels Richard Hansen | Zendy

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Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases

Author(s) -

Vincent Martin,

Katharina Perell,

Finn Cilius Nielsen,

Gedske Daugaard,

Niels Richard Hansen

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu044

Subject(s) - contamination , liver tissue , identification (biology) , pathology , primary tumor , cancer , tissue sample , biopsy , usability , metastasis , medicine , computer science , biology , biomedical engineering , ecology , human–computer interaction

Contamination of a cancer tissue by the surrounding benign (non-cancerous) tissue is a concern for molecular cancer diagnostics. This is because an observed molecular signature will be distorted by the surrounding benign tissue, possibly leading to an incorrect diagnosis. One example is molecular identification of the primary tumor site of metastases because biopsies of metastases typically contain a significant amount of benign tissue.

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