Rare Cell Population Analysis in Early-Stage Breast Cancer Patients.
Background: 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 circ...
| Publicado en: | Breast Cancer: Basic & Clinical Research pp. 1 - 17 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
1/10/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182194239&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182194239 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11782234 B078 jtl: Breast Cancer: Basic & Clinical Research issn: 11782234 maglogo: Y pubinfo: dt: 1/10/2025 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 182194239 182194239 182194239 10.1177/11782234241310596 182194239 ppf: 1 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Rare Cell Population Analysis in Early-Stage Breast Cancer Patients. aug: au: Schreier, Stefan Budchart, Prapaphan Borwornpinyo, Suparerk Adireklarpwong, Lakkana Chirappapha, Prakasit Triampo, Wannapong Lertsithichai, Panuwat affil: School of Bioinnovation and Bio-based Product Intelligence, Faculty of Science, Mahidol University, Bangkok, Thailand sug: subj: Cells Analysis Breast Neoplasms Diagnosis Breast Neoplasms Familial and Genetic Early Detection of Cancer Methods Cytodiagnosis Tumor Markers, Biological Human Funding Source Female Adult Middle Age Aged Cell Line, Tumor In Situ Hybridization, Fluorescence Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female ab: Background: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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