Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13045-015-0174-9
Title: Sampling circulating tumor cells for clinical benefits: How frequent?
Authors: Leong, S.M 
Tan, K.M.L
Chua, H.W
Tan, D
Fareda, D
Osmany, S
Li, M.-H
Tucker, S
Koay, E.S.C 
Keywords: tumor marker
tumor marker
breast cancer
cancer diagnosis
cancer growth
cancer patient
cancer prognosis
circulating tumor cell
clinical decision making
colorectal cancer
disease course
epithelial mesenchymal transition
human
human cell
lung cancer
metastasis
molecular mechanics
ovary cancer
prostate cancer
Review
simulation
treatment failure
blood
metabolism
neoplasm
pathology
tumor embolism
Biomarkers, Tumor
Humans
Neoplasms
Neoplastic Cells, Circulating
Issue Date: 2015
Citation: Leong, S.M, Tan, K.M.L, Chua, H.W, Tan, D, Fareda, D, Osmany, S, Li, M.-H, Tucker, S, Koay, E.S.C (2015). Sampling circulating tumor cells for clinical benefits: How frequent?. Journal of Hematology and Oncology 8 (1) : 75. ScholarBank@NUS Repository. https://doi.org/10.1186/s13045-015-0174-9
Rights: Attribution 4.0 International
Abstract: Circulating tumor cells (CTCs) are cells shed from tumors or metastatic sites and are a potential biomarker for cancer diagnosis, management, and prognostication. The majority of current studies use single or infrequent CTC sampling points. This strategy assumes that changes in CTC number, as well as phenotypic and molecular characteristics, are gradual with time. In reality, little is known today about the actual kinetics of CTC dissemination and phenotypic and molecular changes in the blood of cancer patients. Herein, we show, using clinical case studies and hypothetical simulation models, how sub-optimal CTC sampling may result in misleading observations with clinical consequences, by missing out on significant CTC spikes that occur in between sampling times. Initial studies using highly frequent CTC sampling are necessary to understand the dynamics of CTC dissemination and phenotypic and molecular changes in the blood of cancer patients. Such an improved understanding will enable an optimal, study-specific sampling frequency to be assigned to individual research studies and clinical trials and better inform practical clinical decisions on cancer management strategies for patient benefits. © 2015 Leong et al.
Source Title: Journal of Hematology and Oncology
URI: https://scholarbank.nus.edu.sg/handle/10635/180906
ISSN: 17568722
DOI: 10.1186/s13045-015-0174-9
Rights: Attribution 4.0 International
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