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Unveiling G-protein coupled receptors as potential targets for ovarian cancer nanomedicines: from RNA sequencing data analysis to in vitro validation.
Khetan, Riya; Eldi, Preethi; Lokman, Noor A; Ricciardelli, Carmela; Oehler, Martin K; Blencowe, Anton; Garg, Sanjay; Pillman, Katherine; Albrecht, Hugo.
Afiliación
  • Khetan R; Centre of Pharmaceutical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, 5000, Australia.
  • Eldi P; UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, 5000, Australia.
  • Lokman NA; Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5000, Australia.
  • Ricciardelli C; Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5000, Australia.
  • Oehler MK; Discipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5000, Australia.
  • Blencowe A; Department of Gynaecological Oncology, Royal Adelaide Hospital, Adelaide, South Australia, 5000, Australia.
  • Garg S; Applied Chemistry and Translational Biomaterials Group, Centre of Pharmaceutical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, 5000, Australia.
  • Pillman K; Centre of Pharmaceutical Innovation, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, 5000, Australia.
  • Albrecht H; Centre for Cancer Biology, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, 5000, Australia. katherine.pillman@unisa.edu.au.
J Ovarian Res ; 17(1): 156, 2024 Jul 27.
Article en En | MEDLINE | ID: mdl-39068454
ABSTRACT
Genetic heterogeneity in ovarian cancer indicates the need for personalised treatment approaches. Currently, very few G-protein coupled receptors (GPCRs) have been investigated for active targeting with nanomedicines such as antibody-conjugated drugs and drug-loaded nanoparticles, highlighting a neglected potential to develop personalised treatment. To address the genetic heterogeneity of ovarian cancer, a future personalised approach could include the identification of unique GPCRs expressed in cancer biopsies, matched with personalised GPCR-targeted nanomedicines, for the delivery of lethal drugs to tumour tissue before, during and after surgery. Here we report on the systematic analysis of public ribonucleic acid-sequencing (RNA-seq) gene expression data, which led to prioritisation of 13 GPCRs as candidates with frequent overexpression in ovarian cancer tissues. Subsequently, primary ovarian cancer cells derived from ascites and ovarian cancer cell lines were used to confirm frequent gene expression for the selected GPCRs. However, the expression levels showed high variability within our selection of samples, therefore, supporting and emphasising the need for the future development of case-to-case personalised targeting approaches.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Análisis de Secuencia de ARN / Receptores Acoplados a Proteínas G / Nanomedicina Límite: Female / Humans Idioma: En Revista: J Ovarian Res Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Análisis de Secuencia de ARN / Receptores Acoplados a Proteínas G / Nanomedicina Límite: Female / Humans Idioma: En Revista: J Ovarian Res Año: 2024 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido