RESUMO
BACKGROUND & AIMS: In recent years, intrahepatic cholangiocarcinoma (iCCA) has evolved as a "role model" for precision oncology in gastrointestinal cancers. However, its rarity, paired with its genomic heterogeneity, challenges the development and evolution of targeted therapies. Interrogating large datasets drives better understanding of the characteristics of molecular subgroups of rare cancers and enables the identification of genomic patterns that remain unrecognized in smaller cohorts. METHODS: We performed a retrospective analysis of 6,130 patients diagnosed with iCCA from the FoundationCORE database who received diagnostic panel sequencing on the FoundationOne platform. Short variants/fusion-rearrangements and copy number alterations in >300 tumor-associated genes were evaluated, and the tumor mutational burden (TMB) as well as the microsatellite instability (MSI) status were available for the majority of the cohort. RESULTS: We provide a highly representative cartography of the genomic landscape of iCCA and outline the co-mutational spectra of seven therapeutically relevant oncogenic driver genes: IDH1/2, FGFR2, ERBB2, BRAF, MDM2, BRCA1/2, MET and KRASG12C. We observed a negative selection of RTK/RAS/ERK pathway co-alterations, and an enrichment of epigenetic modifiers such as ARID1A and BAP1 in patients with IDH1/2 and FGFR2 alterations. RNF43 as well as KMT2D occurred with high frequency in MSIhigh and TMBhigh tumors. CONCLUSION: Detailed knowledge of the most prevalent genomic constellations is key to the development of effective treatment strategies for iCCA. Our study provides a valuable resource that could be used to assess the feasibility of clinical trials and subgroup analyses, spurs the development of translationally relevant preclinical models, and serves as a knowledge base to predict potential mechanisms of resistance to targeted therapies in genomically defined subgroups. IMPACT AND IMPLICATIONS: Due to the high frequency of targetable alterations, molecular diagnostics is recommended in patients with biliary tract cancers, and especially in those with iCCA. The identification of an actionable lesion, however, does not guarantee therapeutic success, and the co-mutational spectrum may act as a critical modifier of drug response. Using a large dataset of comprehensive panel sequencing results from 6,130 patients with iCCA, we provide a detailed analysis of the co-mutational spectrum of the most frequent druggable genetic alterations, which is meant to serve as a reference to establish genetically relevant preclinical models, develop hypothesis-driven combination therapies and identify recurrent genetic profiles.
Assuntos
Neoplasias dos Ductos Biliares , Colangiocarcinoma , Humanos , Estudos Retrospectivos , Medicina de Precisão , Colangiocarcinoma/patologia , Mutação , Biomarcadores Tumorais/genética , Ductos Biliares Intra-Hepáticos/patologiaRESUMO
BACKGROUND AND AIMS: Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer and a highly lethal malignancy. Chemotherapeutic options are limited, but a considerable subset of patients harbors genetic lesions for which targeted agents exist. Fibroblast growth factor receptor 2 (FGFR2) fusions belong to the most frequent and therapeutically relevant alterations in ICC, and the first FGFR inhibitor was recently approved for the treatment of patients with progressed, fusion-positive ICC. Response rates of up to 35% indicate that FGFR-targeted therapies are beneficial in many but not all patients. Thus far, no established biomarkers exist that predict resistance or response to FGFR-targeted therapies in patients with ICC. APPROACH AND RESULTS: In this study, we use an autochthonous murine model of ICC to demonstrate that FGFR2 fusions are potent drivers of malignant transformation. Furthermore, we provide preclinical evidence that the co-mutational spectrum acts not only as an accelerator of tumor development, but also modifies the response to targeted FGFR inhibitors. Using pharmacologic approaches and RNA-interference technology, we delineate that Kirsten rat sarcoma oncogene (KRAS)-activated mitogen-activated protein kinase signaling causes primary resistance to FGFR inhibitors in FGFR2 fusion-positive ICC. The translational relevance is supported by the observation that a subset of human FGFR2 fusion patients exhibits transcriptome profiles reminiscent of KRAS mutant ICC. Moreover, we demonstrate that combination therapy has the potential to overcome primary resistance and to sensitize tumors to FGFR inhibition. CONCLUSIONS: Our work highlights the importance of the co-mutational spectrum as a significant modifier of response in tumors that harbor potent oncogenic drivers. A better understanding of the genetic underpinnings of resistance will be pivotal to improve biomarker-guided patient selection and to design clinically relevant combination strategies.
Assuntos
Neoplasias dos Ductos Biliares/genética , Ductos Biliares Intra-Hepáticos , Transformação Celular Neoplásica/genética , Colangiocarcinoma/genética , Fusão Gênica/genética , Neoplasias Hepáticas Experimentais/genética , Proteínas Proto-Oncogênicas p21(ras)/genética , Receptor Tipo 2 de Fator de Crescimento de Fibroblastos/genética , Adenosil-Homocisteinase/genética , Animais , Antígenos de Neoplasias/genética , Antimetabólitos Antineoplásicos/farmacologia , Neoplasias dos Ductos Biliares/patologia , Proliferação de Células/efeitos dos fármacos , Transformação Celular Neoplásica/efeitos dos fármacos , Colangiocarcinoma/patologia , Proteínas Correpressoras/genética , Proteína A de Ligação a Elemento de Resposta do AMP Cíclico/genética , Desoxicitidina/análogos & derivados , Desoxicitidina/farmacologia , Proteínas Fetais/genética , Camundongos , Proteínas Associadas aos Microtúbulos/genética , Mutação , Compostos de Fenilureia/farmacologia , Inibidores de Proteínas Quinases/farmacologia , Pirimidinas/farmacologia , Receptor Tipo 2 de Fator de Crescimento de Fibroblastos/antagonistas & inibidores , Proteínas de Transporte Vesicular/genética , GencitabinaRESUMO
PURPOSE: Recent studies have provided evidence for a predictive value of RNF43 genetic alterations (GAs) as biomarkers for targeted therapies in microsatellite-stable (MSS) colorectal cancer (CRC). These data have the potential to prioritize treatment strategies in patients with BRAFV600E-mutant CRC and help to identify a subgroup that is more likely to derive benefit versus those patients for whom alternative treatment approaches are needed. We were therefore interested in defining the precise frequency of BRAFV600E and RNF43 GAs and their respective overlap in a large cohort of patients with CRC. METHODS: To address this question, we performed a retrospective analysis that included 52,969 patients diagnosed with CRC from the FoundationCORE database. RESULTS: We observed a striking association of RNF43 GAs with MSI and tumor mutational burden status and BRAFV600E mutations. Overall, 23% of MSS patients with confirmed BRAFV600E mutation harbor an RNF43 GA-which accounts for 1.1% of all patients with CRC and for 15.7% of all CRC BRAFV600E cases. CONCLUSION: Ongoing phase III clinical trials, such as BREAKWATER, should aim to incorporate broader genetic profiling to further validate the superior sensitivity of patients with RNF43-mutant, MSS BRAFV600E CRC to anti-EGFR-/BRAFi-based therapies.
Assuntos
Neoplasias Colorretais , Proteínas Proto-Oncogênicas B-raf , Humanos , Proteínas Proto-Oncogênicas B-raf/genética , Estudos Retrospectivos , Instabilidade de Microssatélites , Mutação/genética , Neoplasias Colorretais/genética , Neoplasias Colorretais/patologia , Ubiquitina-Proteína Ligases/genéticaRESUMO
Alternative cleavage and polyadenylation (APA) is a widespread mechanism to generate mRNA isoforms with alternative 3' untranslated regions. Here, we detail a protocol for detecting APA genome wide using direct RNA sequencing technology including computational analysis. We describe steps for RNA sample and library preparation, nanopore sequencing, and data analysis. Experiments and data analysis can be performed over a period of 6-8 days and require molecular biology and bioinformatics skills. For complete details on the use and execution of this protocol, please refer to Polenkowski et al.1.