Flow Cytometry in Cancer Research

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 2806

Special Issue Editors


E-Mail Website
Guest Editor
Unit of Molecular Biology, Hematology Laboratory, University General Hospital of Ioannina, Ioannina, Greece
Interests: translational oncology; flow cytometry

E-Mail Website
Guest Editor
Unit of Molecular Biology, Haematology Laboratory, University General Hospital of Ioannina, Ioannina, Greece
Interests: flow cytometry

E-Mail Website
Guest Editor
Neurosurgical Institute, University of Ioannina, Ioannina, Greece
Interests: cancer biology; translational oncology; flow cytometry

Special Issue Information

Dear Colleagues,

Flow cytometry has evolved over the years into an independent research field that investigates the quantification of the cellular phenotype. Cancer is among the leading causes of human mortality, in which neoplastic cells form a tumor that may invade adjacent tissue or metastasize to distant organs. Given the complex nature of cancer, novel approaches are always focused on the need for the accurate characterization of cancer cells and the design of effective treatment. The applications of flow cytometry on cancer extend, among others, from diagnosis of hematological malignancies and the interplay between the immune system and cancer to the study of the tumor phenotype, heterogeneity, and the intraoperative tumor diagnosis and prognosis.

Recent advances in the field include technological innovations such as mass cytometry, spectral cytometry, and imaging cytometry, as well as methodological innovations in acquisition and analysis, such as the of application of machine learning and artificial intelligence algorithms. These advances have rendered flow cytometry an invaluable tool in the fields of basic and translational cancer research.

The aim of the current Special Issue, “Flow Cytometry in Cancer Research”, is to define the state-of-the-art in the field as well as to present recent flow cytometry innovations with an application in cancer research. We wish to serve as a forum for researchers applying flow cytometry in oncology, leading to knowledge dissemination in the fight against this devastating disease.

We are welcoming primary or review articles covering, but not limited to, the following topics:

  • Reviews describing the state-of-the-art in the field;
  • The contribution of cytometry in basic and translational cancer research;
  • Novel methodologies for phenotypic analysis of cancer;
  • Clinical or animal models that incorporate flow cytometry analyses;
  • Technological and methodological advances of diagnostic techniques (for example, multiparametric analysis in hematology, oncology, immunology, etc.).

Dr. George Vartholomatos
Dr. Lefkothea Dova
Dr. Georgios S. Markopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • flow cytometry
  • translational oncology
  • cancer research
  • oncology
  • hematology
  • immunology

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

12 pages, 14203 KiB  
Communication
(Very) Small Stem-like Cells in Human Cell Cultures
by Jan Jakub Lica and Bhaskar Pradhan
Cancers 2023, 15(23), 5520; https://doi.org/10.3390/cancers15235520 - 22 Nov 2023
Viewed by 816
Abstract
Very Small Embryonic-like Stem Cells (VSELSCs) and Very Small Cancer Stem Cells (VSCSCs) are fields of intensive research. Although the presence in vitro of VSELSC and VSCSC cellular stage analogs appear probable, it has yet to be published. Utilizing established human cell cultures [...] Read more.
Very Small Embryonic-like Stem Cells (VSELSCs) and Very Small Cancer Stem Cells (VSCSCs) are fields of intensive research. Although the presence in vitro of VSELSC and VSCSC cellular stage analogs appear probable, it has yet to be published. Utilizing established human cell cultures with varying populations of primitive cells, stained with CD markers specific to primitive stages, in addition to a fluorescent DNA dye, and following histochemical processing, we have developed a cytological method for detecting Very Small Leukemic Stem-like Cells (VSLSLCs), Very Small Cancer Stem-like Cells (VSCSLCs), and VSELSCs. This detection provides an opportunity to advance research in these areas. Full article
(This article belongs to the Special Issue Flow Cytometry in Cancer Research)
Show Figures

Graphical abstract

Review

Jump to: Research

11 pages, 258 KiB  
Review
Critical Assessment of Cancer Characterization and Margin Evaluation Techniques in Brain Malignancies: From Fast Biopsy to Intraoperative Flow Cytometry
by Ioannis Liaropoulos, Alexandros Liaropoulos and Konstantinos Liaropoulos
Cancers 2023, 15(19), 4843; https://doi.org/10.3390/cancers15194843 - 03 Oct 2023
Viewed by 1018
Abstract
Brain malignancies, given their intricate nature and location, present significant challenges in both diagnosis and treatment. This review critically assesses a range of diagnostic and surgical techniques that have emerged as transformative tools in brain malignancy management. Fast biopsy techniques, prioritizing rapid and [...] Read more.
Brain malignancies, given their intricate nature and location, present significant challenges in both diagnosis and treatment. This review critically assesses a range of diagnostic and surgical techniques that have emerged as transformative tools in brain malignancy management. Fast biopsy techniques, prioritizing rapid and minimally invasive tissue sampling, have revolutionized initial diagnostic stages. Intraoperative flow cytometry (iFC) offers real-time cellular analysis during surgeries, ensuring optimal tumor resection. The advent of intraoperative MRI (iMRI) has seamlessly integrated imaging into surgical procedures, providing dynamic feedback and preserving critical brain structures. Additionally, 5-aminolevulinic acid (5-ALA) has enhanced surgical precision by inducing fluorescence in tumor cells, aiding in their complete resection. Several other techniques have been developed in recent years, including intraoperative mass spectrometry methodologies. While each technique boasts unique strengths, they also present potential limitations. As technology and research continue to evolve, these methods are set to undergo further refinement. Collaborative global efforts will be pivotal in driving these advancements, promising a future of improved patient outcomes in brain malignancy management. Full article
(This article belongs to the Special Issue Flow Cytometry in Cancer Research)
Back to TopTop