Unveiling G-protein coupled receptors as potential targets for ovarian cancer nanomedicines: from RNA sequencing data analysis to in vitro validation

Autor: Riya Khetan, Preethi Eldi, Noor A. Lokman, Carmela Ricciardelli, Martin K. Oehler, Anton Blencowe, Sanjay Garg, Katherine Pillman, Hugo Albrecht
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-13 (2024)
Druh dokumentu: article
ISSN: 1757-2215
DOI: 10.1186/s13048-024-01479-0
Popis: 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.
Databáze: Directory of Open Access Journals
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