Circulating Tumor Cell cluster phenotype allows monitoring response to treatment and predicts survival.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
28 05 2019
Historique:
received: 31 07 2018
accepted: 15 05 2019
entrez: 30 5 2019
pubmed: 30 5 2019
medline: 21 10 2020
Statut: epublish

Résumé

Circulating tumor cells (CTCs) are putative markers of tumor prognosis and may serve to evaluate patient's response to chemotherapy. CTCs are often detected as single cells but infrequently as clusters and are indicative of worse prognosis. In this study, we developed a short-term culture of nucleated blood cells which was applied to blood samples from breast, lung, esophageal and bladder cancer patients. Clusters of different degrees of compactness, classified as very tight, tight and loose were observed across various cancer types. These clusters show variable expression of cytokeratins. Cluster formation from blood samples obtained during the course of chemotherapy was found to be associated with disease progression and shorter overall survival. The short-term cultures offer a robust and highly reliable method for early prediction of treatment response in different cancer types.

Identifiants

pubmed: 31138856
doi: 10.1038/s41598-019-44404-y
pii: 10.1038/s41598-019-44404-y
pmc: PMC6538674
doi:

Substances chimiques

Antineoplastic Agents 0
Keratins 68238-35-7

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7933

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Auteurs

Ajay Balakrishnan (A)

Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India.

Deepak Koppaka (D)

Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bengaluru, India.

Abhishek Anand (A)

Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bengaluru, India.

Barnali Deb (B)

Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India.

Gianluca Grenci (G)

Mechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore.

Virgile Viasnoff (V)

Mechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore.
Department of Biological Sciences, National University of Singapore, Singapore, 117411, Singapore.
CNRS UMI3639, Singapore, 117411, Singapore.

Erik W Thompson (EW)

School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.
Institute of Health and Biomedical Innovation (IHBI) and Invasion and Metastasis Unit, Translational Research Institute (TRI), Queensland University of Technolgy, Woolloongabba, QLD, 4102, Australia.

Harsha Gowda (H)

Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.

Ramray Bhat (R)

Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.

Annapoorni Rangarajan (A)

Department of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bengaluru, India.

Jean Paul Thiery (JP)

Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. bchtjp@nus.edu.sg.
Comprehensive Cancer Center, Institut Gustave Roussy, 114 Rue Edouard Vaillant, Villejuif, France. bchtjp@nus.edu.sg.
CNRS UMR 7057, Matter and Complex Systems, Université Paris Diderot, 10 rue Alice Domon et Léonie Duquet Paris, Paris, France. bchtjp@nus.edu.sg.

K Govind Babu (K)

Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bengaluru, India. kgblaugh@gmail.com.

Prashant Kumar (P)

Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India. prashant@ibioinformatics.org.
Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India. prashant@ibioinformatics.org.

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