ijms-logo

Journal Browser

Journal Browser

The Role of Genome in Cancer Therapy

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

Deadline for manuscript submissions: closed (20 August 2025) | Viewed by 1560

Special Issue Editors


E-Mail Website
Guest Editor
Genomic Data Analysis Unit, The Hebrew University of Jerusalem-Hadassah Medical School, The Hebrew University of Jerusalem, Jerusalem, Israel
Interests: genomics

E-Mail Website
Guest Editor
Hadassah Hebrew University Hospital, Gene Therapy Institute, P.O. Box 12000, Jerusalem 91120, Israel
Interests: gene expression

Special Issue Information

Dear Colleagues,

Cancer is a collective term for a wide range of diseases characterized by the growth of abnormal cells. Cells undergo many gene changes prior to the occurrence of cancer. About 5–10% of cancers are caused by inherited gene defects. Genome research can help understand the mechanisms of these gene changes.

The genome has played a crucial role in cancer research over the past decade. Genome research helps humans to identify cancer-related molecular alterations and their potential functional impacts, and DNA molecules may be treated as potential targets to design cancer therapies.

This Special Issue aims to collect original articles and reviews, focusing on the latest research and discoveries in genome-based cancer treatment, as well as prospects for future development. This Special Issue is dedicated to exploring the complex genetic and molecular mechanisms behind cancer development, metastasis and drug resistance, through genome analysis and research to understand cancer pathogenesis and diagnosis, as well as prevention and molecular therapy strategies.

Dr. Yoav Smith
Dr. Hovav Nechushtan
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 250 words) can be sent to the Editorial Office for assessment.

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

  • genome analysis
  • molecular therapy
  • drug resistance
  • cancer genetic

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:
13 pages, 1630 KB  
Article
Nodal Spread Prediction in Human Oral Tongue Squamous Cell Carcinoma Using a Cancer-Testis Antigen Genes Signature
by Yoav Smith, Amit Cohen, Tzahi Neuman, Yoram Fleissig and Nir Hirshoren
Int. J. Mol. Sci. 2025, 26(18), 9258; https://doi.org/10.3390/ijms26189258 - 22 Sep 2025
Viewed by 965
Abstract
Cervical lymph node metastasis is the strongest prognostic factor in oral tongue carcinoma, yet current clinical guidelines rely primarily on depth of invasion to guide elective neck dissection. This approach results in unnecessary surgery in up to 70% of patients. Cancer-testis antigens (CTAs) [...] Read more.
Cervical lymph node metastasis is the strongest prognostic factor in oral tongue carcinoma, yet current clinical guidelines rely primarily on depth of invasion to guide elective neck dissection. This approach results in unnecessary surgery in up to 70% of patients. Cancer-testis antigens (CTAs) are a family of genes associated with tumor aggressiveness and may serve as predictive biomarkers for nodal spread. A multi-step analysis integrating large-scale public datasets, including microarray (GSE78060), bulk RNA-seq emerging from the cancer genome atlas (TCGA), and single-cell RNA-seq (GSE103322), was employed to identify CTA genes active in oral tongue cancer. Selected genes were validated using NanoString nCounter RNA profiling of 16 patients undergoing curative glossectomy with elective neck dissection. Machine learning algorithms, including decision trees, t-distributed stochastic neighbor embedding (t-SNE), and convolutional neural networks (CNN), were applied to assess predictive power for nodal metastasis. Computational analysis initially identified 40 cancer-active CTA genes, of which four genes (LY6K, MAGEA3, CEP55, and ATAD2) were most indicative of nodal spread. In our patient cohort, NanoString nCounter profiling combined with machine learning confirmed these four genes as highly predictive. We present a proof-of-concept CTA-based genetic diagnostic tool capable of discriminating nodal involvement in oral tongue cancer. This approach may reduce unnecessary neck dissections, minimizing surgical morbidity. Full article
(This article belongs to the Special Issue The Role of Genome in Cancer Therapy)
Show Figures

Figure 1

Back to TopTop