Informace o publikaci

Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients.

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LUPINI Laura BASSI Cristian MLČOCHOVÁ Jitka MUSA Gentian RUSSO Marta VYCHYTILOVÁ Petra SVOBODA Marek SABBIONI Silvia NĚMEČEK Radim SLABÝ Ondřej NEGRINI Massimo

Rok publikování 2015
Druh Článek v odborném periodiku
Časopis / Zdroj BMC Cancer
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
www http://bmccancer.biomedcentral.com/articles/10.1186/s12885-015-1752-5
Doi http://dx.doi.org/10.1186/s12885-015-1752-5
Obor Onkologie a hematologie
Klíčová slova colorectal cancer; resistance to anti-EGFR antibodies; gene mutations; next-generation sequencing
Popis Background: The anti-epidermal growth factor receptor (EGFR) monoclonal antibodies (moAbs) cetuximab or panitumumab are administered to colorectal cancer (CRC) patients who harbor wild-type RAS proto-oncogenes. However, a percentage of patients do not respond to this treatment. In addition to mutations in the RAS genes,mutations in other genes, such as BRAF, PI3KCA,or PTEN, could be involved in the resistance to anti-EGFR moAb therapy. Methods: In order to develop a comprehensive approach for the detection of mutations and to eventually identify other genes responsible for resistance to anti-EGFR moAbs, we investigated a panel of 21 genes by parallel sequencing on the Ion Torrent Personal Genome Machine platform. We sequenced 65 CRCs that were treated with cetuximab or panitumumab. Among these, 37 samples were responsive and 28 were resistant. Results: We confirmed that mutations in EGFR-pathway genes (KRAS, NRAS , BRAF, PI3KCA) were relevant for conferring resistance to therapy and could predict response (p = 0.001). After exclusion of KRAS, NRAS, BRAF and PI3KCA combined mutations could still significantly associate to resistant phenotype ( p = 0.045, by Fisher exact test). In addition, mutations in FBXW7 and SMAD4 were prevalent in cases that were non-responsive to anti-EGFR moAb. After we combined the mutations of all genes (excluding KRAS), the ability to predict response to therapy improved significantly (p = 0.002, by Fisher exact test). Conclusions: The combination of mutations at KRAS and at the five gene panel demonstrates the usefulness and feasibility of multigene sequencing to assess response to anti-EGFR moAbs. The application of parallel sequencing technology in clinical practice, in addition to its innate ability to simultaneously examine the genetic status of several cancer genes, proved to be more accurate and sensitive than the presently in use traditional approaches.
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