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Molecular Heterogeneity in Leiomyosarcoma and Implications for Personalised Medicine.
Arfan, Sara; Thway, Khin; Jones, Robin L; Huang, Paul H.
Afiliação
  • Arfan S; Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.
  • Thway K; Division of Molecular Pathology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, SM2 5NG, UK.
  • Jones RL; The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
  • Huang PH; The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
Curr Treat Options Oncol ; 25(5): 644-658, 2024 05.
Article em En | MEDLINE | ID: mdl-38656686
ABSTRACT
OPINION STATEMENT Leiomyosarcoma (LMS) is one of the more common subtypes of soft tissue sarcomas (STS), accounting for about 20% of cases. Differences in anatomical location, risk of recurrence and histomorphological variants contribute to the substantial clinical heterogeneity in survival outcomes and therapy responses observed in patients. There is therefore a need to move away from the current one-size-fits-all treatment approach towards a personalised strategy tailored for individual patients. Over the past decade, tissue profiling studies have revealed key genomic features and an additional layer of molecular heterogeneity among patients, with potential utility for optimal risk stratification and biomarker-matched therapies. Furthermore, recent studies investigating intratumour heterogeneity and tumour evolution patterns in LMS suggest some key features that may need to be taken into consideration when designing treatment strategies and clinical trials. Moving forward, national and international collaborative efforts to aggregate expertise, data, resources and tools are needed to achieve a step change in improving patient survival outcomes in this disease of unmet need.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article