Rare Cell Population Analysis in Early-Stage Breast Cancer Patients

dc.contributor.authorSchreier S.
dc.contributor.authorBudchart P.
dc.contributor.authorBorwornpinyo S.
dc.contributor.authorAdireklarpwong L.
dc.contributor.authorChirappapha P.
dc.contributor.authorTriampo W.
dc.contributor.authorLertsithichai P.
dc.contributor.correspondenceSchreier S.
dc.contributor.otherMahidol University
dc.date.accessioned2025-01-26T18:18:09Z
dc.date.available2025-01-26T18:18:09Z
dc.date.issued2025-01-01
dc.description.abstractBackground: Circulating rare cells participate in breast cancer evolution as systemic components of the disease and thus, are a source of theranostic information. Exploration of cancer-associated rare cells is in its infancy. Objectives: We aimed to investigate and classify abnormalities in the circulating rare cell population among early-stage breast cancer patients using fluorescence marker identification and cytomorphology. In addition, we sought to determine the dependency of these markers on the presence of tumors. Design: We evaluated the validity of a multi-rare-cell detection platform and demonstrated the utility of a specific rare cell subset as a novel approach to characterize the breast cancer system. Sampling was conducted both before and after tumor resection. Methods: Linearity of the Rarmax platform was established using a spike-in approach. The platform includes red blood cell lysis, leukocyte depletion and high-resolution fluorescence image recording. Rare cell analysis was conducted on 28 samples (before and after surgery) from 14 patients with breast cancer, 20 healthy volunteers and 9 noncancer control volunteers. In-depth identification of rare cells, including circulating tumor cells, endothelial-like cells, erythroblasts, and inflammation-associated cells, was performed using a phenotype and morphology-based classification system. Results: The platform performed linearly over a range of 5 to 950 spiked cells, with an average recovery of 84.6%. Circulating epithelial and endothelial-like cell subsets have been demonstrated to be associated with or independent of cancer with tumor presence. Furthermore, certain cell profile patterns may be associated with treatment-related adverse effects. The sensitivity in detecting tumor-presence and cancer-associated abnormality before surgery was 43% and 85.7%, respectively, and the specificity was 100% and 96.6%, respectively. Conclusion: This study supports the idea of a cancer-associated rare cell abnormality to represent tumor entities as well as systemic cancer. The latter is independent of the apparent clinical cancer.
dc.identifier.citationBreast Cancer: Basic and Clinical Research Vol.19 (2025)
dc.identifier.doi10.1177/11782234241310596
dc.identifier.eissn11782234
dc.identifier.scopus2-s2.0-85215521055
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/103037
dc.rights.holderSCOPUS
dc.subjectBiochemistry, Genetics and Molecular Biology
dc.subjectMedicine
dc.titleRare Cell Population Analysis in Early-Stage Breast Cancer Patients
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85215521055&origin=inward
oaire.citation.titleBreast Cancer: Basic and Clinical Research
oaire.citation.volume19
oairecerif.author.affiliationFaculty of Science, Mahidol University
oairecerif.author.affiliationFaculty of Medicine Ramathibodi Hospital, Mahidol University
oairecerif.author.affiliationLtd.

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