Tibiletti Maria Grazia, Carnevali Ileana, Pensotti Valeria, Chiaravalli Anna Maria, Facchi Sofia, Volorio Sara, Mariette Frederique, Mariani Paolo, Fortuzzi Stefano, Pierotti Marco Alessandro, Sessa Fausto
Unit of Pathology, Ospedale di Circolo, ASST-Sette Laghi, 21000 Varese, Italy.
Research Center for the Study of Hereditary and Familial Tumors, University of Insubria, 21100 Varese, Italy.
Biomedicines. 2022 May 23;10(5):1208. doi: 10.3390/biomedicines10051208.
Pancreatic cancer has a high morbidity and mortality with the majority being PC ductal adenocarcinomas (PDAC). Whole genome sequencing provides a wide description of genomic events involved in pancreatic carcinogenesis and identifies putative biomarkers for new therapeutic approaches. However, currently, there are no approved treatments targeting driver mutations in PDAC that could produce clinical benefit for PDAC patients. A proportion of 5-10% of PDAC have a hereditary origin involving germline variants of homologous recombination genes, such as Mismatch Repair (MMR), and genes. Very recently, genes have been demonstrated as a useful biomarker for PARP-inhibitor (PARPi) treatments. In this study, a series of 21 FFPE PDACs were analyzed using OncoPan, a strategic next-generation sequencing (NGS) panel of 37 genes, useful for identification of therapeutic targets and inherited cancer syndromes. Interestingly, this approach, successful also on minute pancreatic specimens, identified biomarkers for personalized therapy in five PDAC patients, including two cases with amplification and three cases with mutations in genes (, and ) and potentially eligible to PARPi therapy. Molecular analysis on normal tissue identified one PDAC patient as a carrier of a germline pathogenetic variant and, noteworthy, this patient was a member of a family affected by inherited breast and ovarian cancer conditions. This study demonstrates that the OncoPan NGS-based panel constitutes an efficient methodology for the molecular profiling of PDAC, suitable for identifying molecular markers both for therapy and risk assessment. Our data demonstrate the feasibility and utility of these NGS analysis in the routine setting of PDAC molecular characterization.
胰腺癌的发病率和死亡率都很高,其中大多数是胰腺导管腺癌(PDAC)。全基因组测序全面描述了胰腺致癌过程中涉及的基因组事件,并确定了新治疗方法的潜在生物标志物。然而,目前尚无针对PDAC驱动突变的获批治疗方法能为PDAC患者带来临床益处。5%-10%的PDAC具有遗传起源,涉及同源重组基因的种系变异,如错配修复(MMR)基因等。最近,基因已被证明是PARP抑制剂(PARPi)治疗的有用生物标志物。在本研究中,使用OncoPan(一个由37个基因组成的战略性下一代测序(NGS)面板,可用于识别治疗靶点和遗传性癌症综合征)对一系列21个福尔马林固定石蜡包埋(FFPE)的PDAC进行了分析。有趣的是,这种方法在微小胰腺标本上也取得了成功,在5例PDAC患者中鉴定出了个性化治疗的生物标志物,包括2例基因扩增和3例基因(、和)突变的病例,这些患者可能适合PARPi治疗。对正常组织的分子分析确定1例PDAC患者为种系致病变异的携带者,值得注意的是,该患者是一个受遗传性乳腺癌和卵巢癌影响的家族成员。本研究表明,基于OncoPan NGS的检测方法是一种有效的PDAC分子分析方法,适用于识别治疗和风险评估的分子标志物。我们的数据证明了这些NGS分析在PDAC分子特征常规检测中的可行性和实用性。