New Insight into Canine and Feline Tumor

A special issue of Veterinary Sciences (ISSN 2306-7381). This special issue belongs to the section "Veterinary Biomedical Sciences".

Deadline for manuscript submissions: 10 March 2025 | Viewed by 1679

Special Issue Editors


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Guest Editor
Department of Surgery, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo 05508-010, Brazil
Interests: articular affections; arthroscopy; reparative surgery; substitute methods for teaching surgery; veterinary oncology

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Guest Editor
Department of Veterinary Surgery and Animal Reproduction, São Paulo State University (UNESP), Botucatu, Sao Paulo 01049-010, Brazil
Interests: carcinogensis; in silico analysis; mamamry gland tumors; target therapy
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Special Issue Information

Dear Colleagues,

Cancer is a complex and heterogeneous disease involving a dynamic interaction between cancer cells and their microenvironment. Animals have been used as models for human cancers. The comparative oncology field is important since animals develop spontaneous tumors and share the same environment as humans, earning the name ‘sentinels’ for this reason. In veterinary medicine, the use of big data analysis in different tumor subtypes has become more prevalent in recent years, allowing the identification of drivers in tumorigenesis and tumor resistance, as well as the discovery of new predictive markers. This new knowledge brings an opportunity for using this information in a more personalized approach. The use of big data in veterinary medicine focuses on the identification cancer-specific mutations that can be treated with small molecules inhibitors. These new insights are important to the development of veterinary oncology and the development of new diagnostic, prognostic and therapeutical markers.

The main goal of this Special Issue is to compile manuscripts that focus on the new insigths in veterinary oncology, especially research with a translational approach. We welcome original research and review articles from investigators worldwide that will stimulate the continuing efforts to understand cancer in veterinary patients.

  1. Identification and evaluation of new genetic and epigenetic biomarkers;
  2. Use of different biomarkers in clinical practice;
  3. Tumour-derived organoids as a drug screening tool in clinical practice
  4. Liquid biopsy as a personalized tool in veterinary oncology;
  5. Approaches to and strategies for using personalized precision medicine based on the integration of genetic and epigenetics;
  6. Description of the extracellular matrix complexity and its implication on competition animal’s cancer treatment;
  7. Investigations into the role of inflammatory cells on different cancer subtypes;
  8. Specific therapies targeting tumor microenvironment components with translational potential;
  9. Genetic and epigenetic modifications associated with the tumor microenvironment;
  10. Therapeutic implications of hypoxia and angiogenesis in tumors from small animals.

Prof. Dr. Julia Maria Matera
Dr. Carlos Eduardo Fonseca-Alves
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. Veterinary Sciences is an international peer-reviewed open access monthly 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 2100 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

  • comparative oncology
  • cancer therapeutics
  • prognostic markers
  • cancer immunology
  • advances in veterinary oncology
  • surgical oncology

Published Papers (1 paper)

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Research

12 pages, 902 KiB  
Article
Prognostic Utility of the Flow Cytometry and Clonality Analysis Results for Feline Lymphomas
by Sheena Kapoor, Sushmita Sen, Josephine Tsang, Qi-Jing Yap, Stanley Park, Jerry Cromarty, Deanna Swartzfager, Kevin Choy, Sungwon Lim, Jamin Koo and Ilona Holcomb
Vet. Sci. 2024, 11(8), 331; https://doi.org/10.3390/vetsci11080331 - 24 Jul 2024
Viewed by 693
Abstract
Feline lymphoma, a prevalent cancer in cats, exhibits varied prognoses influenced by anatomical site and cellular characteristics. In this study, we investigated the utility of flow cytometry and clonality analysis via PCR for antigen receptor rearrangement (PARR) with respect to characterizing the disease [...] Read more.
Feline lymphoma, a prevalent cancer in cats, exhibits varied prognoses influenced by anatomical site and cellular characteristics. In this study, we investigated the utility of flow cytometry and clonality analysis via PCR for antigen receptor rearrangement (PARR) with respect to characterizing the disease and predicting prognosis. For this purpose, we received fine needle aspirates and/or blood from 438 feline patients, which were subjected to flow cytometry analysis and PARR. We used a subset of the results from patients with confirmed B- or T-cell lymphomas for comparison to cytological or histological evaluation (n = 53). Using them as a training set, we identified the optimal set of flow cytometry parameters, namely forward scatter thresholds, for cell size categorization by correlating with cytology-defined sizes. Concordance with cytological sizing among this training set was 82%. Furthermore, 90% concordance was observed when the proposed cell sizing was tested on an independent test set (n = 24), underscoring the reliability of the proposed approach. Additionally, lymphoma subtypes defined by flow cytometry and PARR demonstrated significant survival differences, validating the prognostic utility of these methods. The proposed methodology achieves high concordance with cytological evaluations and provides an additional tool for the characterization and management of feline lymphoproliferative diseases. Full article
(This article belongs to the Special Issue New Insight into Canine and Feline Tumor)
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