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Recent Advances in Cancer Biomarkers, Artificial Intelligence and Emerging Technologies

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1281

Special Issue Editor


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Guest Editor
Department of Biomedicine and Prevention - Tor Vergata, University of Rome Tor Vergata, 00133 Rome, Italy
Interests: cancer biomarkers; pathology; atherosclerosis; biotechnology; histopathology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the era of personalized medicine and targeted therapy, the identification of novel cancer biomarkers represents a great challenge to assess cancer disease through an integrated approach.

Although cancer is among the most studied pathologies, it still represents one of the leading causes of death worldwide. Indeed, several investigations have been conducted on this topic but much needs to be clarified about primary, concurrent, metastatic, and recurrent lesions to ensure tumour prevention or early diagnosis and the personalized treatment.

Given the growing interest in improving the prevention, the management of oncological patients and the therapeutic efficacy, studies on risk factors predisposing the onset and the progression of the pathology are welcome. Specifically, cancer biomarkers may refer to genomic, epigenomic, proteomic and morphological changes that are quantitatively affected or differently distributed in tumoral tissues as compared to normal tissues. In addition, manuscripts on predictive bioinformatics systems that are able to identify and cluster specific patterns, together with the emerging molecular technologies for the detection of tumour markers, are welcome for submission.

Potential topics include, but are not limited to, the following:

  • Identification of prognostic and predictive biomarkers of human cancers;
  • New advances in circulating biomarkers of human cancers;
  • The use of artificial intelligence and machine learning to support clinical investigations concerning new biomarkers for human cancer.
  • New molecular technologies that are able to detect tumour-specific markers.

Dr. Manuela Montanaro
Guest Editor

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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. 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

  • cancer
  • biomarker
  • pathology
  • risk factors
  • artificial intelligence
  • advanced technologies
  • personalized medicine
  • targeted therapy

Published Papers (1 paper)

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Research

22 pages, 9003 KiB  
Article
Gelsolin, an Actin-Binding Protein: Bioinformatic Analysis and Functional Significance in Urothelial Bladder Carcinoma
by Abeer A. Alsofyani and Taoufik Nedjadi
Int. J. Mol. Sci. 2023, 24(21), 15763; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms242115763 - 30 Oct 2023
Viewed by 852
Abstract
The involvement of the actin-regulatory protein, gelsolin (GSN), in neoplastic transformation has been reported in different cancers including bladder cancer. However, the exact mechanism by which GSN influences bladder cancer development is not well understood. Here, we sought to reveal the functional significance [...] Read more.
The involvement of the actin-regulatory protein, gelsolin (GSN), in neoplastic transformation has been reported in different cancers including bladder cancer. However, the exact mechanism by which GSN influences bladder cancer development is not well understood. Here, we sought to reveal the functional significance of GSN in bladder cancer by undertaking a comprehensive bioinformatic analysis of TCGA datasets and through the assessment of multiple biological functions. GSN expression was knocked down in bladder cancer cell lines with two siRNA isoforms targeting GSN. Proliferation, migration, cell cycle and apoptosis assays were carried out. GSN expression, enrichment analysis, protein–protein interaction and immune infiltration analysis were verified through online TCGA tools. The data indicated that GSN expression is associated with bladder cancer proliferation, migration and enhanced cell apoptosis through regulation of NF-κB expression. GSN expression correlated with various inflammatory cells and may influence the immunity of the tumor microenvironment. Computational analysis identified several interacting partners which are associated with cancer progression and patient outcome. The present results demonstrate that GSN plays an important role in bladder cancer pathogenesis and may serve as a potential biomarker and therapeutic target for cancer therapy. Full article
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