New Insights into the Diagnosis and Treatment of Breast Cancer

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 569

Special Issue Editors


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Co-Guest Editor
University of Department of Biomedical and Forensic Science, University Derby, Derby DE22 1GB, UK
Interests: translational cancer research for developing prognostic and predictive tools to improve cancer patients’ outcome—this is through refining the currently used prognostic and predictive parameters and mining for novel ones for accurate patients’ risk stratification and personalised management

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Guest Editor
Molecular Medicine Laboratory, Department of Research, Changhua Christian Hospital, Changhua 500, Taiwan
Interests: Artificial intelligence; machine learning; Breast cancer; medical imaging

Special Issue Information

Dear Colleagues,

Early diagnosis and effective treatment of breast cancer are key to reducing mortality rates. However, traditional methods for diagnosing and treating breast cancer still have certain limitations. To promote further research in the field of breast cancer, we invite researchers from all over the world to submit research studies on this topic. This journal is dedicated to publishing the latest research findings in the diagnosis and treatment of breast cancer, including the following:

Artificial intelligence-based early diagnosis methods for breast cancer: including early diagnostic methods such as deep learning, machine learning, and image recognition of breast cancer.

Novel strategies for treating breast cancer: including immunotherapy, gene therapy, cell therapy, and innovative applications of targeted therapy.

New drugs: including drug development directed at new targets for breast cancer.

Repurposing existing drugs: exploring new applications of existing drugs in the treatment of breast cancer.

Imaging screening: developing new imaging screening methods for breast cancer to improve early detection rates.

Prognostic prediction: developing new prognostic prediction models for breast cancer to improve treatment effectiveness.

Dr. Mohammed A. Aleskandarany
Dr. Weichung Shia
Guest Editors

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Keywords

  • Breast cancer
  • prognostic
  • medical imaging
  • chemotherapy
  • immunotherapy
  • diagnostics
  • screening

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Published Papers (1 paper)

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Research

20 pages, 4305 KiB  
Article
Breast Cancer Surgical Specimens: A Marking Challenge and a Novel Solution—A Prospective, Randomized Study
by András Drozgyik, Noémi Kránitz, Tamás Szabó, Dániel Kollár, István Á. Harmati, Renáta Rajnai and Tamás F. Molnár
Biomedicines 2025, 13(4), 984; https://doi.org/10.3390/biomedicines13040984 - 17 Apr 2025
Viewed by 91
Abstract
Background: Accurate orientation of resected breast specimens is essential for proper pathological evaluation and margin assessment. Misorientation may compromise analysis, lead to imprecise re-excisions, and increase the risk of local recurrence. This study aims to evaluate a novel specimen plate designed to maintain [...] Read more.
Background: Accurate orientation of resected breast specimens is essential for proper pathological evaluation and margin assessment. Misorientation may compromise analysis, lead to imprecise re-excisions, and increase the risk of local recurrence. This study aims to evaluate a novel specimen plate designed to maintain consistent tissue orientation and compares its effectiveness to traditional suture marking. Methods: In a single-center, prospective, randomized two-arm trial, 56 specimens were oriented with the new plate and 54 with conventional sutures. Outcomes included intraoperative imaging interpretation, specimen handling, and pathological assessment, with a focus on orientation accuracy and margin evaluation. Results: The specimen plate significantly reduced misorientation (p < 0.01) and improved interpretation during intraoperative imaging. Pathologists reported greater ease in identifying direction and tumor-free zones, leading to a more accurate margin assessment. Non-R0 resections requiring re-excision were fewer with the specimen plate (8.9%) compared to suture marking (22.2%). Conclusions: The newly developed specimen plate can offer a reliable solution for improving specimen orientation in breast cancer surgery; however, further validation in multicenter studies is needed to confirm its applicability across diverse surgical settings. By ensuring consistent orientation and enhancing diagnostic interpretation, it may help reduce re-excisions and improve patient safety. Full article
(This article belongs to the Special Issue New Insights into the Diagnosis and Treatment of Breast Cancer)
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