Distinct gene expression profiles in ovarian cancer linked to Lynch syndrome.
Research output: Contribution to journal › Article
Abstract
Ovarian cancer linked to Lynch syndrome represents a rare subset that typically presents at young age as early-stage tumors with an overrepresentation of endometrioid and clear cell histologies. We investigated the molecular profiles of Lynch syndrome-associated and sporadic ovarian cancer with the aim to identify key discriminators and central tumorigenic mechanisms in hereditary ovarian cancer. Global gene expression profiling using whole-genome c-DNA-mediated Annealing, Selection, extension, and Ligation was applied to 48 histopathologically matched Lynch syndrome-associated and sporadic ovarian cancers. Lynch syndrome-associated and sporadic ovarian cancers differed by 349 significantly deregulated genes, including PTPRH, BIRC3, SHH and TNFRSF6B. The genes involved were predominantly linked to cell growth, proliferation, and cell-to-cell signaling and interaction. When stratified for histologic subtype, hierarchical clustering confirmed distinct differences related to heredity in the endometrioid and serous subtypes. Furthermore, separate clustering was achieved in an independent, publically available data set. The distinct genetic signatures in Lynch syndrome-associated and sporadic ovarian cancers point to alternative preferred tumorigenic routes and suggest that genetic discriminators may be relevant for molecular diagnostics and targeted therapeutics.
Details
Authors | |
---|---|
Organisations | |
Research areas and keywords | Subject classification (UKÄ) – MANDATORY
|
Original language | English |
---|---|
Pages (from-to) | 537-545 |
Number of pages | 9 |
Journal | Familial Cancer |
Volume | 13 |
Issue number | 4 |
Publication status | Published - 2014 |
Publication category | Research |
Peer-reviewed | Yes |
Total downloads
No data available
Related research output
Jenny-Maria Jönsson, 2015, Division of Oncology and Pathology, Lund University. 111 p.
Research output: Thesis › Doctoral Thesis (compilation)
Related projects
Mef Nilbert, Helena Nyström, Linn Rosell, Mats Jönsson, Eva Rambech, Stefan Peterson & Emelie Styring
2017/01/01 → 2018/12/31
Project: Research