Publication:
Predicting response to neoadjuvant chemotherapy in breast cancer: Molecular imaging, systemic biomarkers and the cancer metabolome (review)

dc.contributor.authorSuebwong Chuthapisithen_US
dc.contributor.authorJennifer M. Ereminen_US
dc.contributor.authorOleg Ereminen_US
dc.contributor.otherUniversity of Nottinghamen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherLincoln County Hospitalen_US
dc.date.accessioned2018-07-12T02:17:06Z
dc.date.available2018-07-12T02:17:06Z
dc.date.issued2008-10-01en_US
dc.description.abstractThe ability to predict the response to neoadjuvant chemotherapy (NAC) prior to or shortly after commencing treatment, in women with large or locally advanced breast cancers, would not only prevent patients from experiencing unnecessary drug morbidity but also reduce the high cost associated with drug usage and utilisation of resources with NAC. Ability to estimate residual cancer volume after NAC is of clinical relevance to subsequent therapeutic surgical options. Various approaches, using conventional histopathological characteristics and imaging modalities to evaluate and predict the response to NAC, have not been able to provide accurate and reliable data. Novel biomolecular imaging, new biomarkers and recent cancer genomic and proteomic profiling, introduced into clinical practice, have produced preliminary promising results. We describe and discuss these molecular characteristics and approaches and their applications to NAC in breast cancer management.en_US
dc.identifier.citationOncology Reports. Vol.20, No.4 (2008), 699-703en_US
dc.identifier.doi10.3892/or_00000062en_US
dc.identifier.issn1021335Xen_US
dc.identifier.other2-s2.0-54949099986en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/18853
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=54949099986&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectMedicineen_US
dc.titlePredicting response to neoadjuvant chemotherapy in breast cancer: Molecular imaging, systemic biomarkers and the cancer metabolome (review)en_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=54949099986&origin=inwarden_US

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