Search for Mutations Connected With Non-Response to Anti-EGFR Therapy in mCRC in the Morphologically Defined Regions of Primary Tumours

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Authors

ČARNOGURSKÁ Martina VASYLIEVA Valeriia Serhiivna MACHÁČKOVÁ Táňa BOUDNÁ Marie PIFKOVÁ Lucie ORLÍČKOVÁ Jana IVKOVIC Tina Catela SLABÝ Ondřej BENCSIKOVA Beatrix POPOVICI Vlad BUDINSKÁ Eva

Year of publication 2025
Type Article in Periodical
Magazine / Source Cancer Medicine
MU Faculty or unit

Faculty of Science

Citation
web https://onlinelibrary.wiley.com/doi/10.1002/cam4.70910
Doi http://dx.doi.org/10.1002/cam4.70910
Keywords anti-EGFR therapy; <italic>BRAF</italic>; invasion front; <italic>KRAS</italic>; metastatic cancer; morphological sampling; <italic>NRAS</italic>; <italic>PIK3CA</italic>; PTEN; tumour heterogeneity
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Description BackgroundEmerging evidence suggests that tumour morphological heterogeneity may influence mutational profiles relevant to therapy response. In this pilot study, we aimed to assess whether mutations identified within specific morphological patterns or at the invasion front correlate with shorter time to progression after anti-EGFR therapy, as compared to whole-tissue analysis.MethodsWe investigated genetic mutations in 142 samples from primary tumours of 39 KRAS wild-type metastatic colorectal cancer (CRC) patients receiving anti-EGFR therapy. Deep next-generation sequencing was performed on whole-tumour sections and six morphology-defined tumour regions.ResultsMutations in genes linked to anti-EGFR therapy response (KRAS, BRAF, NRAS, PTEN and PI3KCA) were found uniquely in the non-responder group, with substantial variability across morphological sub-regions. BRAF mutations were aligned with serrated and mucinous morphologies, while KRAS mutations (p.Lys147Glu and p.Ala146Thr) were associated with mucinous and desmoplastic morphologies. In all cases, the cumulative mutational profile from sub-regions provided more details than that of the whole-tumour profile.ConclusionOur findings highlight that comprehensive analysis, considering morphological heterogeneity, is crucial for personalised CRC treatment strategies.
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