<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:16:54Z</responseDate><request verb="GetRecord" identifier="oai:digital.library.adelaide.edu.au:2440/150672" metadataPrefix="dim">https://digital.library.adelaide.edu.au/server/oai/request</request><GetRecord><record><header><identifier>oai:digital.library.adelaide.edu.au:2440/150672</identifier><datestamp>2026-07-28T06:42:11Z</datestamp><setSpec>com_2440_14759</setSpec><setSpec>col_2440_14760</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Albrecht, Hugo</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Khetan, Riya</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2025-12-11</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/2440/150672</dim:field>
   <dim:field mdschema="dc" element="description">xxi, 157 pages</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">This research project is a first step towards the future generation of a nanomedicine platform driven by the identification of GPCRs as tumour specific biomarkers. It can be very well imagined that an array of frequently overexpressed GPCRs – matched to ovarian tumour heterogeneity – will in a first step be implemented as a diagnostic tool. In a second step targeted drug carriers could be selected depending on GPCR expression profiles leading to personalised treatment. In summary, this work highlights the theranostic potential of GPCRs, which could lead to a translational framework, combining diagnostics and receptor biology, with nanotechnology. Future work will contribute to the rapidly expanding field of precision oncology and may improve patient outcomes.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="dissertation" lang="en">Thesis (PhD (Pharmaceutical Science)) -- University of South Australia, UniSA Clinical and Health Sciences, 2025</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso">en</dim:field>
   <dim:field mdschema="dc" element="subject">ovarian cancer</dim:field>
   <dim:field mdschema="dc" element="subject">drug delivery</dim:field>
   <dim:field mdschema="dc" element="subject">G-protein coupled receptors</dim:field>
   <dim:field mdschema="dc" element="title">Investigating G-protein coupled receptors as novel biomarkers for diagnosis, prognosis, and targeted therapy in ovarian cancer</dim:field>
   <dim:field mdschema="dc" element="type" lang="en">Thesis</dim:field>
   <dim:field mdschema="dc" element="provenance" lang="en">This electronic version is made publicly available by the University of South Australia in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please notify the University copyright officer by emailing copyright@adelaide.edu.au</dim:field>open.access</dim:dim></metadata></record></GetRecord></OAI-PMH>