ISSN: 2630-5267(Online)

Journal of Oncology Research publishes papers that offer a rapid review and publication that freely disseminates research findings in the area of Oncology including Carcinogenesis, Metastasis, Cancer Prevention, Cancer Chemotherapy and more.  The Journal focuses on innovations of research methods at all stages and is committed to providing theoretical and practical experience for all those who are involved in these fields.

Journal of Oncology Research aims to discover innovative methods, theories and studies in Oncology by publishing original articles, case studies and comprehensive reviews.

The scope of the papers in this journal includes, but is not limited to:

  • Cancer Chemotherapy
  • Cancer prevention
  • Viral oncology
  • Carcinogenesis
  • Apoptosis
  • Angiogenesis
  • Metastasis
  • Cancer image and interventional diagnosis and therapy
  • Tumor markers
  • Radiotherapy and biotherapy
  • Clinical Trials in Oncology
  • Cancer Nanotechnology
  • Cancer immunology and immunotherapy
  • Exosomes and immunosuppression

Submission Preparation Checklist

By submitting a manuscript to the journal, the Author(s) verifies that the following items have been met:
  1. The submission has not been previously published under another journal, or is currently under consideration for another journal.
  2. The submission format should be in Microsoft Word. Other word processing software may be considered.
  3. DOIs or URLs have been provided wherever possible in the Reference List.
  4. The document(s) have been formatted according to the requirements under Author Guidelines. The placement of illustrations, figures, graphs, tables, and equations have been integrated into the main manuscript.
  5. Instructions in Ensuring a Blind Review have been followed in order to comply with the double-blind peer review process employed.

Volume 5, Issue 1 (2023)

Table of Contents


Alexander Aizikovich

Article ID: 5115
Views - 46  (Abstract) PDF - 13  (Download)
Abstract: Aim: To investigate the in vitro structure-activity relationship (SAR) of a range of tetrahydrocannabinolic (THCA) and cannabidiolic (CBDA) derivatives using the PANC-1 tumor cell line (pancreas, ductal carcinoma). Materials and methods: The in vitro effects of a range of THCA and CBDA derivatives with different carbonyl group substituents were tested on ...
Rebecca Nyasuguta Arika, Agnes Mindila, W. Cheruiyo

Article ID: 4977
Views - 58  (Abstract) PDF - 14  (Download)
Abstract: Early diagnosis of breast cancer does not only increase the chances of survival but also control the diffusion of cancerous cells in the body. Previously, researchers have developed machine learning algorithms in breast cancer diagnosis such as Support Vector Machine, K-Nearest Neighbor, Convolutional Neural Network, K-means, Fuzzy C-means...



New Article has been Published Online!

Posted: November 04,2022
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