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The Use of miRNAs in Predicting Response to Neoadjuvant Therapy in Oesophageal Cancer.
Lang, Cameron C J; Lloyd, Megan; Alyacoubi, Said; Rahman, Saqib; Pickering, Oliver; Underwood, Tim; Breininger, Stella P.
Afiliação
  • Lang CCJ; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
  • Lloyd M; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
  • Alyacoubi S; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
  • Rahman S; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
  • Pickering O; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
  • Underwood T; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
  • Breininger SP; Cancer Research UK Center, Faculty of Medicine, School of Cancer Science, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK.
Cancers (Basel) ; 14(5)2022 Feb 24.
Article em En | MEDLINE | ID: mdl-35267476
Oesophageal cancer (OC) is the ninth most common cancer worldwide. Patients receive neoadjuvant therapy (NAT) as standard of care, but less than 20% of patients with oesophageal adenocarcinoma (OAC) or a third of oesophageal squamous cell carcinoma (OSCC) patients, obtain a clinically meaningful response. Developing a method of determining a patient's response to NAT before treatment will allow rational treatment decisions to be made, thus improving patient outcome and quality of life. (1) Background: To determine the use and accuracy of microRNAs as biomarkers of response to NAT in patients with OAC or OSCC. (2) Methods: MEDLINE, EMBASE, Web of Science and the Cochrane library were searched to identify studies investigating microRNAs in treatment naïve biopsies to predict response to NAT in OC patients. (3) Results: A panel of 20 microRNAs were identified as predictors of good or poor response to NAT, from 15 studies. Specifically, miR-99b, miR-451 and miR-505 showed the strongest ability to predict response in OAC patients along with miR-193b in OSCC patients. (4) Conclusions: MicroRNAs are valuable biomarkers of response to NAT in OC. Research is needed to understand the effects different types of chemotherapy and chemoradiotherapy have on the predictive value of microRNAs; studies also require greater standardization in how response is defined.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Patient_preference Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de publicação: Suíça