LRIG1 gene copy number analysis by ddPCR and correlations to clinical factors in breast cancerShow others and affiliations
2020 (English)In: BMC Cancer, E-ISSN 1471-2407, Vol. 20, no 1, article id 459
Article in journal (Refereed) Published
Abstract [en]
Background: Leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) copy number alterations and unbalanced gene recombination events have been reported to occur in breast cancer. Importantly, LRIG1 loss was recently shown to predict early and late relapse in stage I-II breast cancer.
Methods: We developed droplet digital PCR (ddPCR) assays for the determination of relative LRIG1 copy numbers and used these assays to analyze LRIG1 in twelve healthy individuals, 34 breast tumor samples previously analyzed by fluorescence in situ hybridization (FISH), and 423 breast tumor cytosols.
Results: Four of the LRIG1/reference gene assays were found to be precise and robust, showing copy number ratios close to 1 (mean, 0.984; standard deviation, +/-0.031) among the healthy control population. The correlation between the ddPCR assays and previous FISH results was low, possibly because of the different normalization strategies used. One in 34 breast tumors (2.9%) showed an unbalanced LRIG1 recombination event. LRIG1 copy number ratios were associated with the breast cancer subtype, steroid receptor status, ERBB2 status, tumor grade, and nodal status. Both LRIG1 loss and gain were associated with unfavorable metastasis-free survival; however, they did not remain significant prognostic factors after adjustment for common risk factors in the Cox regression analysis. Furthermore, LRIG1 loss was not significantly associated with survival in stage I and II cases.
Conclusions: Although LRIG1 gene aberrations may be important determinants of breast cancer biology, and prognostic markers, the results of this study do not verify an important role for LRIG1 copy number analyses in predicting the risk of relapse in early-stage breast cancer.
Place, publisher, year, edition, pages
BioMed Central, 2020. Vol. 20, no 1, article id 459
Keywords [en]
Breast cancer, LRIG1, Gene copy number, ddPCR, Prognosis
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:umu:diva-172514DOI: 10.1186/s12885-020-06919-wISI: 000537685500004PubMedID: 32448168Scopus ID: 2-s2.0-85085414966OAI: oai:DiVA.org:umu-172514DiVA, id: diva2:1450516
Funder
Swedish Cancer SocietyVästerbotten County Council2020-07-012020-07-012024-07-04Bibliographically approved