Literature DB >> 35760998

Microfluidic Biosensor-Based Devices for Rapid Diagnosis and Effective Anti-cancer Therapeutic Monitoring for Breast Cancer Metastasis.

V S Sukanya1, Subha Narayan Rath2.   

Abstract

Breast cancer with unpredictable metastatic recurrence is the leading cause of cancer-related mortality. Early cancer detection and optimized therapy are the principal determining factors for increased survival rate. Worldwide, researchers and clinicians are in search of efficient strategies for the timely management of cancer progression. Efficient preclinical models provide information on cancer initiation, malignancy progression, relapse, and drug efficacy. The distinct histopathological features and clinical heterogeneity allows no single model to mimic breast tumor. However, engineering three-dimensional (3D) in vitro models incorporating cells and biophysical cues using a combination of organoid culture, 3D printing, and microfluidic technology could recapitulate the tumor microenvironment. These models serve to be preferable predictive models bridging the translational research gap in drug development. Microfluidic device is a cost-effective advanced in vitro model for cancer research, diagnosis, and drug assay under physiologically relevant conditions. Integrating a biosensor with microfluidics allows rapid real-time analytical validation to provide highly sensitive, specific, reproducible, and reliable outcomes. In this manner, the multi-system approach in identifying biomarkers associated with cancer facilitates early detection, therapeutic window optimization, and post-treatment evaluation.This chapter showcases the advancements related to in vitro breast cancer metastasis models focusing on microfluidic devices. The chapter aims to provide an overview of microfluidic biosensor-based devices for cancer detection and high-throughput chemotherapeutic drug screening.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Biomarkers; Biosensors; Breast cancer; In vitro 3D cancer models; Microfluidics; Therapeutic drug monitoring

Mesh:

Year:  2022        PMID: 35760998     DOI: 10.1007/978-3-031-04039-9_13

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  46 in total

Review 1.  Tumor metastasis: molecular insights and evolving paradigms.

Authors:  Scott Valastyan; Robert A Weinberg
Journal:  Cell       Date:  2011-10-14       Impact factor: 41.582

Review 2.  Hyaluronan: A modulator of the tumor microenvironment.

Authors:  Theerawut Chanmee; Pawared Ontong; Naoki Itano
Journal:  Cancer Lett       Date:  2016-02-24       Impact factor: 8.679

3.  Expression of the transcription factors snail, slug, and twist and their clinical significance in human breast cancer.

Authors:  Tracey A Martin; Amit Goyal; Gareth Watkins; Wen G Jiang
Journal:  Ann Surg Oncol       Date:  2005-04-19       Impact factor: 5.344

4.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Authors:  Hyuna Sung; Jacques Ferlay; Rebecca L Siegel; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  CA Cancer J Clin       Date:  2021-02-04       Impact factor: 508.702

5.  Prognostic Relevance of Circulating Tumor Cells in Molecular Subtypes of Breast Cancer.

Authors:  M Banys-Paluchowski; H Schneck; C Blassl; S Schultz; F Meier-Stiegen; D Niederacher; N Krawczyk; E Ruckhaeberle; T Fehm; H Neubauer
Journal:  Geburtshilfe Frauenheilkd       Date:  2015-03       Impact factor: 2.915

6.  Proteomic Profiling of the ECM of Xenograft Breast Cancer Metastases in Different Organs Reveals Distinct Metastatic Niches.

Authors:  Jess D Hebert; Samuel A Myers; Alexandra Naba; Genevieve Abbruzzese; John M Lamar; Steven A Carr; Richard O Hynes
Journal:  Cancer Res       Date:  2020-02-04       Impact factor: 12.701

7.  Clinical validity of circulating tumour cells in patients with metastatic breast cancer: a pooled analysis of individual patient data.

Authors:  François-Clément Bidard; Dieter J Peeters; Tanja Fehm; Franco Nolé; Rafael Gisbert-Criado; Dimitrios Mavroudis; Salvatore Grisanti; Daniele Generali; Jose A Garcia-Saenz; Justin Stebbing; Carlos Caldas; Paola Gazzaniga; Luis Manso; Rita Zamarchi; Angela Fernandez de Lascoiti; Leticia De Mattos-Arruda; Michail Ignatiadis; Ronald Lebofsky; Steven J van Laere; Franziska Meier-Stiegen; Maria-Teresa Sandri; Jose Vidal-Martinez; Eleni Politaki; Francesca Consoli; Alberto Bottini; Eduardo Diaz-Rubio; Jonathan Krell; Sarah-Jane Dawson; Cristina Raimondi; Annemie Rutten; Wolfgang Janni; Elisabetta Munzone; Vicente Carañana; Sofia Agelaki; Camillo Almici; Luc Dirix; Erich-Franz Solomayer; Laura Zorzino; Helene Johannes; Jorge S Reis-Filho; Klaus Pantel; Jean-Yves Pierga; Stefan Michiels
Journal:  Lancet Oncol       Date:  2014-03-11       Impact factor: 41.316

8.  The relevance of using 3D cell cultures, in addition to 2D monolayer cultures, when evaluating breast cancer drug sensitivity and resistance.

Authors:  Susan Breslin; Lorraine O'Driscoll
Journal:  Oncotarget       Date:  2016-07-19

Review 9.  Organotropism: new insights into molecular mechanisms of breast cancer metastasis.

Authors:  Wenjing Chen; Andrew D Hoffmann; Huiping Liu; Xia Liu
Journal:  NPJ Precis Oncol       Date:  2018-02-16

10.  Expression of PD-1/PD-L1 in primary breast tumours and metastatic axillary lymph nodes and its correlation with clinicopathological parameters.

Authors:  Chenxi Yuan; Zhaoyun Liu; Qian Yu; Xinzhao Wang; Mengxue Bian; Zhiyong Yu; Jinming Yu
Journal:  Sci Rep       Date:  2019-10-07       Impact factor: 4.379

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