Methods for Detection of Circulating Tumour Cells and Their Clinical Value in Cancer Patients

Overview

Journal Folia Biol (Praha)

Specialty Biology

Date 2011 Oct 8

PMID 21978757

Citations 7

Authors

V Mikulova

K Kolostova

T Zima

Affiliations

Soon will be listed here.

Abstract

Currently available analytical methods enable identification, detection and characterization of circulating tumour cells in the peripheral blood and disseminated tumour cells in the bone marrow of breast cancer patients. About 0.01 % of the circulating tumour cells observed in the blood are able to form metastases. Therefore, they could be used for estimation of the risk for metastatic relapse, as a diagnostic tool for patient stratification, early determination of the therapy failure, or potential risk of resistance to the given therapeutic intervention. New therapeutic molecular targets could be identified for management of cancer patients using circulating tumour cell detection. The following review summarizes introduced methods of circulating tumour cell detection and their possible application in clinics.

Citing Articles

MIML: multiplex image machine learning for high precision cell classification via mechanical traits within microfluidic systems.

Islam K, Paul R, Wang S, Zhao Y, Adhikary P, Li Q Microsyst Nanoeng. 2025; 11(1):43.

PMID: 40050640 PMC: 11885814. DOI: 10.1038/s41378-025-00874-x.

MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic Systems.

Islam K, Paul R, Wang S, Zhao Y, Adhikary P, Li Q ArXiv. 2023; .

PMID: 37744465 PMC: 10516114.

Role of Circulating Tumor Cells in Determining Prognosis in Metastatic Breast Cancer.

Dhaka S, Tripathi R, Chandra Doval D, Mehta A, Maheshwari U, Koyyala V South Asian J Cancer. 2023; 12(1):62-67.

PMID: 36851934 PMC: 9966169. DOI: 10.1055/s-0042-1753477.

Aggregation-induced heterogeneities in the emission of upconverting nanoparticles at the submicron scale unfolded by hyperspectral microscopy.

Gonell F, Botas A, Brites C, Amoros P, Carlos L, Julian-Lopez B Nanoscale Adv. 2022; 1(7):2537-2545.

PMID: 36132713 PMC: 9418934. DOI: 10.1039/c8na00412a.

Label-free detection of rare circulating tumor cells by image analysis and machine learning.

Wang S, Zhou Y, Qin X, Nair S, Huang X, Liu Y Sci Rep. 2020; 10(1):12226.

PMID: 32699281 PMC: 7376046. DOI: 10.1038/s41598-020-69056-1.