Literature DB >> 35761005

Microfluidics for Cancer Biomarker Discovery, Research, and Clinical Application.

Justina Žvirblytė1, Linas Mažutis2.   

Abstract

Currently, cancer is the leading cause of death and its incidence and mortality is growing rapidly all over the world. One of the confounding factors contributing to the failure of conventional cancer diagnostics and treatment strategies is a high degree of intratumoral and intertumoral heterogeneity at the single-cell and molecular levels. Recent innovations in microfluidic techniques have revolutionized single-cell and single-molecule research and challenged the conventional definition of a "biomarker." Alongside classic cancer biomarkers such as circulating tumor DNA or circulating tumor cells (CTC), tumor cell heterogeneity, transcriptional and epigenetic cell states and their abundance in the tumor microenvironment have been demonstrated to impact disease progression and treatment response. Utilizing high-throughput, robust microfluidic techniques for the detection, isolation, and analysis of various cancer biomarkers, valuable information about the tumor can be obtained for clinical decision-making. This chapter presents clinically relevant advances of cancer biomarker research using microfluidics technology and identifies the emerging applications for disease diagnosis, monitoring, and personalized treatment.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Cancer biomarkers; Cancer diagnosis; Clinical applications; Microfluidics; Personalized medicine

Mesh:

Substances:

Year:  2022        PMID: 35761005     DOI: 10.1007/978-3-031-04039-9_20

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   3.650


  121 in total

1.  Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors.

Authors:  Franziska Paul; Ya'ara Arkin; Amir Giladi; Diego Adhemar Jaitin; Ephraim Kenigsberg; Hadas Keren-Shaul; Deborah Winter; David Lara-Astiaso; Meital Gury; Assaf Weiner; Eyal David; Nadav Cohen; Felicia Kathrine Bratt Lauridsen; Simon Haas; Andreas Schlitzer; Alexander Mildner; Florent Ginhoux; Steffen Jung; Andreas Trumpp; Bo Torben Porse; Amos Tanay; Ido Amit
Journal:  Cell       Date:  2015-11-25       Impact factor: 41.582

2.  The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution.

Authors:  James A Briggs; Caleb Weinreb; Daniel E Wagner; Sean Megason; Leonid Peshkin; Marc W Kirschner; Allon M Klein
Journal:  Science       Date:  2018-04-26       Impact factor: 47.728

Review 3.  Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future.

Authors:  Nicholas McGranahan; Charles Swanton
Journal:  Cell       Date:  2017-02-09       Impact factor: 41.582

4.  A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease.

Authors:  Hadas Keren-Shaul; Amit Spinrad; Assaf Weiner; Orit Matcovitch-Natan; Raz Dvir-Szternfeld; Tyler K Ulland; Eyal David; Kuti Baruch; David Lara-Astaiso; Beata Toth; Shalev Itzkovitz; Marco Colonna; Michal Schwartz; Ido Amit
Journal:  Cell       Date:  2017-06-08       Impact factor: 41.582

5.  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

6.  Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

Authors:  Itay Tirosh; Benjamin Izar; Sanjay M Prakadan; Marc H Wadsworth; Daniel Treacy; John J Trombetta; Asaf Rotem; Christopher Rodman; Christine Lian; George Murphy; Mohammad Fallahi-Sichani; Ken Dutton-Regester; Jia-Ren Lin; Ofir Cohen; Parin Shah; Diana Lu; Alex S Genshaft; Travis K Hughes; Carly G K Ziegler; Samuel W Kazer; Aleth Gaillard; Kellie E Kolb; Alexandra-Chloé Villani; Cory M Johannessen; Aleksandr Y Andreev; Eliezer M Van Allen; Monica Bertagnolli; Peter K Sorger; Ryan J Sullivan; Keith T Flaherty; Dennie T Frederick; Judit Jané-Valbuena; Charles H Yoon; Orit Rozenblatt-Rosen; Alex K Shalek; Aviv Regev; Levi A Garraway
Journal:  Science       Date:  2016-04-08       Impact factor: 47.728

Review 7.  Single-cell transcriptomics to explore the immune system in health and disease.

Authors:  Michael J T Stubbington; Orit Rozenblatt-Rosen; Aviv Regev; Sarah A Teichmann
Journal:  Science       Date:  2017-10-06       Impact factor: 47.728

8.  Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.

Authors:  Alexandra-Chloé Villani; Rahul Satija; Gary Reynolds; Siranush Sarkizova; Karthik Shekhar; James Fletcher; Morgane Griesbeck; Andrew Butler; Shiwei Zheng; Suzan Lazo; Laura Jardine; David Dixon; Emily Stephenson; Emil Nilsson; Ida Grundberg; David McDonald; Andrew Filby; Weibo Li; Philip L De Jager; Orit Rozenblatt-Rosen; Andrew A Lane; Muzlifah Haniffa; Aviv Regev; Nir Hacohen
Journal:  Science       Date:  2017-04-21       Impact factor: 47.728

Review 9.  Scaling single-cell genomics from phenomenology to mechanism.

Authors:  Amos Tanay; Aviv Regev
Journal:  Nature       Date:  2017-01-18       Impact factor: 49.962

10.  A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte.

Authors:  Lindsey W Plasschaert; Rapolas Žilionis; Rayman Choo-Wing; Virginia Savova; Judith Knehr; Guglielmo Roma; Allon M Klein; Aron B Jaffe
Journal:  Nature       Date:  2018-08-01       Impact factor: 49.962

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