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Noninvasive detection of microsatellite instability in patients with endometrial cancer
Authors:Carlos Casas-Arozamena  Cristian Pablo Moiola  Ana Vilar  Marta Bouso  Juan Cueva  Silvia Cabrera  Victoria Sampayo  Efigenia Arias  Alicia Abalo  Ángel García  Ramón Manuel Lago-Lestón  Sara Oltra  Eva Díaz  Juan Ruiz-Bañobre  Rafael López-López  Gema Moreno-Bueno  Antonio Gil-Moreno  Eva Colás  Miguel Abal  Laura Muinelo-Romay
Institution:1. Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), Santiago de Compostela, Spain;2. Biomedical Research Group in Gynecology, Vall Hebron Research Institute (VHIR), Universitat Autonoma de Barcelona, Barcelona, Spain;3. Gynecology Department, University Clinical Hospital of Santiago de Compostela (SERGAS), Santiago de Compostela, Spain;4. Pathology Department, University Clinical Hospital of Santiago de Compostela (SERGAS), Santiago de Compostela, Spain;5. Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), Santiago de Compostela, Spain

Medical Oncology Department, University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain;6. Pathology Department, Vall Hebron University Hospital, Barcelona, Spain;7. Translational Research Group, Foundation MD Anderson International, Madrid, Spain

Abstract:The analysis of mismatch repair proteins in solid tissue is the standard of care (SoC) for the microsatellite instability (MSI) characterization in endometrial cancer (EC). Uterine aspirates (UAs) or circulating-DNA (cfDNA) samples capture the intratumor heterogeneity and provide a more comprehensive and dynamic molecular diagnosis. Thus, MSI analysis by droplet-digital PCR (ddPCR) in UAs and cfDNA can provide a reliable tool to characterize and follow-up the disease. The UAs, paraffin-embedded tumor tissue (FFPE) and longitudinal plasma samples from a cohort of 90 EC patients were analyzed using ddPCR panel and compared to the SoC. A high concordance (96.67%) was obtained between the analysis of MSI markers in UAs and the SoC. Three discordant cases were validated as unstable by ddPCR on FFPE samples. Besides, a good overall concordance (70.27%) was obtained when comparing the performance of the ddPCR assay on UAs and cfDNA in high-risk tumors. Importantly, our results also evidenced the value of MSI analysis to monitor the disease evolution. MSI evaluation in minimally invasive samples shows great accuracy and sensitivity and provides a valuable tool for the molecular characterization and follow-up of endometrial tumors, opening new opportunities for personalized management of EC.
Keywords:cfDNA  ctDNA  disease monitoring  endometrial cancer  liquid biopsy  microsatellite instability  uterine aspirate
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