Alexandre Harlé1,2,3, Pierre Filhine-Tresarrieu4, Marie Husson4, Romain Boidot5,6,7, Marie Rouyer4, Cindy Dubois4, Agnès Leroux4, Jean-Louis Merlin8,9,4. 1. Faculté de Pharmacie, Université de Lorraine, 54001, Nancy, France. a.harle@nancy.unicancer.fr. 2. CNRS UMR 7039 CRAN, 54506, Vandoeuvre-lès-Nancy, France. a.harle@nancy.unicancer.fr. 3. Service de Biopathologie, Institut de Cancérologie de Lorraine, 6 Avenue de Bourgogne, CS30519, 54519, Vandoeuvre les Nancy, France. a.harle@nancy.unicancer.fr. 4. Service de Biopathologie, Institut de Cancérologie de Lorraine, 6 Avenue de Bourgogne, CS30519, 54519, Vandoeuvre les Nancy, France. 5. Department of Biology and Pathology of Tumors, Centre Georges-François Leclerc, 21000, Dijon, France. 6. Platform of Transfer in Cancer Biology, Centre Georges-François Leclerc, 21000, Dijon, France. 7. Inserm U866, 21000, Dijon, France. 8. Faculté de Pharmacie, Université de Lorraine, 54001, Nancy, France. 9. CNRS UMR 7039 CRAN, 54506, Vandoeuvre-lès-Nancy, France.
Abstract
BACKGROUND: Overall survival of metastatic colorectal cancer (mCRC) patients has been improved with the addition of targeted therapy such as anti-epithelial growth factor receptor monoclonal antibodies (anti-EGFR mAbs) to standard chemotherapy. Retrospective studies and randomized trials showed that the presence of RAS mutations was linked to the absence of clinical response to anti-EGFR mAbs. Patients harboring KRAS and NRAS mutations on exons 2, 3 or 4 have little or no benefit from anti-EGFR therapies. Polymerase chain reaction (PCR)-based assays are routinely used to assess KRAS and NRAS status, whereas deep sequencing with next generation sequencing (NGS) currently represents an alternative method. OBJECTIVE: The objective of our study was to identify KRAS and NRAS non-hotspot mutations using NGS of mCRC tumor samples. METHOD: DNA was extracted from 188 consecutive formalin-fixed paraffin embedded samples of histologically proven colorectal cancer tumor tissue from patients with mCRC. Following amplification, DNA was sequenced by ultra-deep pyrosequencing. Non-hotspot mutations identified by NGS (frequency of mutated allele range [1.8-70.6 %]) were confirmed by Sanger direct-sequencing when possible. RESULTS: NGS procedure was applicable in 94 % of the cases and detected mutations in 62 % of the samples. Nine uncommon mutational profiles were found with a frequency of mutated allele > 1 %. Silent mutations were found in 3.6 % of the samples. Mutations at or near functional domains of RAS proteins, other than defined hotspots, were found in 3.6 %. NGS proved to be accurate, sensitive and suitable for routine RAS genotyping. CONCLUSION: Clinical responses to anti-EGFR mAbs are potentially impaired in the presence of these uncommon RAS mutations.
BACKGROUND: Overall survival of metastatic colorectal cancer (mCRC) patients has been improved with the addition of targeted therapy such as anti-epithelial growth factor receptor monoclonal antibodies (anti-EGFR mAbs) to standard chemotherapy. Retrospective studies and randomized trials showed that the presence of RAS mutations was linked to the absence of clinical response to anti-EGFR mAbs. Patients harboring KRAS and NRAS mutations on exons 2, 3 or 4 have little or no benefit from anti-EGFR therapies. Polymerase chain reaction (PCR)-based assays are routinely used to assess KRAS and NRAS status, whereas deep sequencing with next generation sequencing (NGS) currently represents an alternative method. OBJECTIVE: The objective of our study was to identify KRAS and NRAS non-hotspot mutations using NGS of mCRC tumor samples. METHOD: DNA was extracted from 188 consecutive formalin-fixed paraffin embedded samples of histologically proven colorectal cancer tumor tissue from patients with mCRC. Following amplification, DNA was sequenced by ultra-deep pyrosequencing. Non-hotspot mutations identified by NGS (frequency of mutated allele range [1.8-70.6 %]) were confirmed by Sanger direct-sequencing when possible. RESULTS: NGS procedure was applicable in 94 % of the cases and detected mutations in 62 % of the samples. Nine uncommon mutational profiles were found with a frequency of mutated allele > 1 %. Silent mutations were found in 3.6 % of the samples. Mutations at or near functional domains of RAS proteins, other than defined hotspots, were found in 3.6 %. NGS proved to be accurate, sensitive and suitable for routine RAS genotyping. CONCLUSION: Clinical responses to anti-EGFR mAbs are potentially impaired in the presence of these uncommon RAS mutations.
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