Literature DB >> 27797592

Improving the CellSearch® system.

J F Swennenhuis1, G van Dalum1, L L Zeune1, L W M M Terstappen1.   

Abstract

INTRODUCTION: The CellSearch® CTC test enumerates tumor cells present in 7.5 ml blood of cancer patients. improvements, extensions and different utilities of the cellsearch system are discussed in this paper. Areas covered: This paper describes work performed with the CellSearch system, which go beyond the normal scope of the test. All results from searches with the search term 'CellSearch' from Web of Science and PubMed were categorized and discussed. Expert commentary: The CellSearch Circulating Tumor Cell test captures and identifies tumor cells in blood that are associated with poor clinical outcome. How to best use CTC in clinical practice is being explored in many clinical trials. The ability to extract information from the CTC to guide therapy will expand the potential clinical utility of CTC.

Entities:  

Keywords:  CellSearch; CellTracks Analyzer; CellTracks AutoPrep; Circulating tumor cells (CTC); circulating endothelial cells (CEC); circulating melanoma cells (CMC); circulating multiple myeloma cells (CMMC); disseminated tumor cells (DTC)

Mesh:

Substances:

Year:  2016        PMID: 27797592     DOI: 10.1080/14737159.2016.1255144

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  23 in total

Review 1.  Early Detection of Cancer in Blood Using Single-Cell Analysis: A Proposal.

Authors:  Alexander Krasnitz; Jude Kendall; Joan Alexander; Dan Levy; Michael Wigler
Journal:  Trends Mol Med       Date:  2017-06-03       Impact factor: 11.951

Review 2.  Recent advances in microfluidic methods in cancer liquid biopsy.

Authors:  Florina S Iliescu; Daniel P Poenar; Fang Yu; Ming Ni; Kiat Hwa Chan; Irina Cima; Hayden K Taylor; Igor Cima; Ciprian Iliescu
Journal:  Biomicrofluidics       Date:  2019-07-23       Impact factor: 2.800

3.  Powering single-cell genomics to unravel circulating tumour cell subpopulations in non-small cell lung cancer patients.

Authors:  Emmanuel Acheampong; Michael Morici; Afaf Abed; Samantha Bowyer; Du-Bois Asante; Weitao Lin; Michael Millward; Elin S Gray; Aaron B Beasley
Journal:  J Cancer Res Clin Oncol       Date:  2022-07-28       Impact factor: 4.322

Review 4.  Liquid Biopsy Based Circulating Biomarkers in Metastatic Prostate Cancer.

Authors:  Eshwari Dathathri; Khrystany T Isebia; Fikri Abali; Martijn P Lolkema; John W M Martens; Leon W M M Terstappen; Ruchi Bansal
Journal:  Front Oncol       Date:  2022-05-20       Impact factor: 5.738

5.  EPAC-lung: European pooled analysis of the prognostic value of circulating tumour cells in small cell lung cancer.

Authors:  Victoria Foy; Colin R Lindsay; Alexandra Carmel; Fabiola Fernandez-Gutierrez; Matthew G Krebs; Lynsey Priest; Mathew Carter; Harry J M Groen; T Jeroen N Hiltermann; Antonella de Luca; Francoise Farace; Benjamin Besse; Leon Terstappen; Elisabetta Rossi; Alessandro Morabito; Francesco Perrone; Andrew Renehan; Corinne Faivre-Finn; Nicola Normanno; Caroline Dive; Fiona Blackhall; Stefan Michiels
Journal:  Transl Lung Cancer Res       Date:  2021-04

Review 6.  Single cell sequencing: a distinct new field.

Authors:  Jian Wang; Yuanlin Song
Journal:  Clin Transl Med       Date:  2017-02-20

7.  Liquid Biopsy in the OMICS Era of Tumor Medicine.

Authors:  Yi Jiang; Denong Wang
Journal:  Open Access J Biomed Eng Appl       Date:  2018-03-07

8.  Prognostic value of circulating tumor cells detected with the CellSearch system in esophageal cancer patients: a systematic review and meta-analysis.

Authors:  Yiding Li; Guiling Wu; Wanli Yang; Xiaoqian Wang; Lili Duan; Liaoran Niu; Yujie Zhang; Jinqiang Liu; Liu Hong; Daiming Fan
Journal:  BMC Cancer       Date:  2020-06-22       Impact factor: 4.430

9.  Screening Circulating Tumor Cells as a Noninvasive Cancer Test in 3388 Individuals from High-Risk Groups (ICELLATE2).

Authors:  Juan Castro; Luis Sanchez; María Teresa Nuñez; Ming Lu; Tomas Castro; Hamid R Sharifi; Christer Ericsson
Journal:  Dis Markers       Date:  2018-05-28       Impact factor: 3.434

Review 10.  Hunting down the dominating subclone of cancer stem cells as a potential new therapeutic target in multiple myeloma: An artificial intelligence perspective.

Authors:  Lisa X Lee; Shengwen Calvin Li
Journal:  World J Stem Cells       Date:  2020-08-26       Impact factor: 5.326

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