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        <identifier>oai:hull-repository.worktribe.com:4214804</identifier>
        <datestamp>2025-09-19T10:12:51Z</datestamp>
        <setSpec>084104101115105115</setSpec>
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        <uketd_dc:uketddc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:type>Thesis</dc:type>
          <dc:title>Proteomic identification of putative biomarkers of neo-adjuvant chemotherapy resistance in luminal (ER+) breast cancer</dc:title>
          <dcterms:abstract>Background:Neoadjuvant chemotherapy is a standard treatment for locally advanced breast cancer however chemoresistance can be a major obstacle in ER+ cancers. Using comparative proteomic approaches (antibody microarray/AbMA and 2D-PAGE with MALDI-TOF/TOF MS) to investigate a pilot series of breast cancer samples our research group recently identified 14-3-3 theta/tau, tBID and BcL-XL as putative biomarkers of response to neoadjuvant chemotherapy (Hodgkinson et al J Prot 2012, 75:1276-1283 and 75:2745-2752). Here we aimed to analyse further samples using the AbMA approach and to re-analyse the combined data.Methods:Samples from chemoresistant and chemosensitive breast cancers were selected following anthracycline-taxane chemotherapy and 4 experiments were performed using ductal ER+ tumours. Differential protein expression was compared between chemoresistant and chemosensitive samples using the Panorama XPRESS Profiler725 AbMA kit. The combined data from 9 AbMA assays and 3 2D-PAGE/MS experiments was then analysed using Ingenuity Pathway Analysis (IPA; Ingenuity Systems). A pilot series of archival samples was used for clinical validation of putative predictive biomarkers.Results:89 differentially expressed proteins (DEPs) were seen in the 4 further AbMA experiments. In the combined dataset (12 experiments from 2 proteomic platforms), 8 DEPs were seen in at least 3 experiments. These were 14-3-3 theta, 14-3-3 epsilon, 14-3-3 gamma, Bcl-xl, Bid, Phosphokinase B, Vimentin and FAK. 121 DEPs from the combined data were analysed using IPA; 13 DEPs were mapped onto the PI3K/AKT pathway. Clinical validation in a pilot series of archival samples revealed AkT-1 Ser473 and FAKY397 alongside the previously identified and validated 14-3-3 theta/tau, and tBID to be significantly associated with chemotherapy resistance.Conclusion: We have now identified at least 8 proteins which could play a role in breast chemoresistance. We propose a potential role for AkT-1, FAK, 14-3-3 theta/tau and tBID as predictive biomarkers of neoadjuvant chemotherapy resistance in breast cancer. Further validation in a larger sample series is now required.</dcterms:abstract>
          <dc:creator>Hussain, Tasadooq</dc:creator>
          <uketdterms:qualificationname>MD</uketdterms:qualificationname>
          <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
          <dcterms:dateAccepted>2013-11-01</dcterms:dateAccepted>
          <uketdterms:institution>Hull York Medical School, the University of Hull and the University of York</uketdterms:institution>
          <dc:identifier>oai:hull-repository.worktribe.com:4214804</dc:identifier>
          <dc:identifier xsi:type="dcterms:URI">https://hull-repository.worktribe.com/4214804/1/Thesis</dc:identifier>
          <dc:subject>Medicine</dc:subject>
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          <dcterms:issued>2013</dcterms:issued>
          <dc:language>en</dc:language>
          <dc:licence>openAccess</dc:licence>
          <dcterms:accessRights>Public</dcterms:accessRights>
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