ArticleBreast care (Basel, Switzerland)2016
Real-Time qPCR-Based Detection of Circulating Tumor Cells from Blood Samples of Adjuvant Breast Cancer Patients: A Preliminary Study.
Article in Breast care (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Circulating tumor cells as biomarkers in melanoma: techniques, challenges, and clinical applications.Frontiers in cell and developmental biology · 2026Review
- Prospective Validation of a One-Step RT-qPCR-based Test for Quantifying HER2 Gene Expression in Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Recent Advances in Microfluidic Platform for Physical and Immunological Detection and Capture of Circulating Tumor Cells.Biosensors · 2022Review
- Determining Specific Thyroid Transcripts in Peripheral Blood: A Single Center Study Experience.Balkan journal of medical genetics : BJMG · 2018Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
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Abstract
backgroundCirculating tumor cells (CTCs) are cells that detach from a primary tumor, circulate through the blood stream and lymphatic vessels, and are considered to be the main reason for remote metastasis. Due to their origin, tumor cells have different gene expression levels than the surrounding blood cells. Therefore, they might be detectable in blood samples from breast cancer patients by real-time quantitative polymerase chain reaction (RT-qPCR). MATERIALS AND
methodsBlood samples of healthy donors and adjuvant breast cancer patients were withdrawn and the cell fraction containing white blood cells and tumor cells was enriched by density gradient centrifugation. RNA was isolated and reverse transcribed to cDNA, which was then used in TaqMan real-time PCR against cytokeratin (CK)8, CK18 and CK19. 18S and GAPDH were used as controls.
resultsAll 3 CKs were, on average, found to be significantly higher expressed in adjuvant breast cancer samples compared to negative controls, probably due to the presence of CTCs. Unfortunately, gene expression levels could not be correlated to tumor characteristics.
conclusionsRT-qPCR could make up a new approach for the detection of CTCs from blood samples of breast cancer patients, but a correlation of the PCR data to gold standard methods in CTC detection would help to further improve the informative value of the qPCR results.
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