Diagnostics Signatures of Breast Cancer

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2234

Special Issue Editor


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Guest Editor
Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha 2713, Qatar
Interests: genetics; omics; bioinformatics; breast cancer; molecular diagnostics

Special Issue Information

Dear Colleagues,

Breast cancer (BC) is the most common malignancy among women worldwide. Its diagnosis is difficult due to different types of breast tumors. The new methods for the detection of BC are promising because they guarantee a precise targeted treatment of tumors. Current detection techniques for BC are very expensive and complicated, ultimately urging the need to develop easy-to-use and more sensitive strategies.

In the past decade, various histological and molecular studies confirmed the high heterogeneity in the nature of BC. During the progression of BC cells into malignancy, they exhibit various vital biomarkers that could be valuable in the diagnosis and treatment of BC. Advances in multiomics have also enabled the development of multigene assays to identify diagnostic signatures of BC. A biopsied sample goes through various multigene assays to predict the heterogeneity and recurrence score, providing complete information on the BC subtype involved. Many of these studies on multigene analyses projected the importance of integrating clinic–pathological information with multiomics data, and that this is likely to provide positive impacts on long-term patient outcomes.

We are pleased to invite you to submit a paper to this Special Issue, which will highlight more recent advances in methods of BC diagnosis, such as molecular signatures, micro-RNA, and bioinformatics methods. The aim of this Special Issue is to collect articles that highlight the currently available BC diagnostic strategies and those advanced ones based on molecular signatures or biomarkers being developed as state-of-the-art early screening and diagnostic technologies.

For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Pathological diagnostic tools for breast cancer;
  • Molecular diagnostics of breast cancer;
  • Omics in breast cancer;
  • Early diagnostics of BC.

We look forward to receiving your contributions.

Prof. Dr. Allal Ouhtit
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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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

  • breast cancer
  • biosensors
  • early diagnosis
  • omics
  • multigene assays
  • novel biomarkers

Published Papers (1 paper)

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Research

11 pages, 745 KiB  
Article
Positive p53 Expression Is Associated with Primary Endocrine Therapy Resistance in Locally Advanced Stage Luminal B HER2-Negative Breast Cancer Patients: A Cross-Sectional Study in Indonesia
by Freda Halim, Yohana Azhar, Suwarman Suwarman, Eka Julianta Wahjoepramono and Bethy Hernowo
Diagnostics 2023, 13(11), 1838; https://doi.org/10.3390/diagnostics13111838 - 24 May 2023
Viewed by 1359
Abstract
Luminal B HER2-negative breast cancer (BC) is the most common type in Indonesian BC patients, and frequently manifests with locally advanced staging. Recurrence often occurs within two years of the endocrine therapy course (primary endocrine therapy (ET) resistance). p53 mutation often exists in [...] Read more.
Luminal B HER2-negative breast cancer (BC) is the most common type in Indonesian BC patients, and frequently manifests with locally advanced staging. Recurrence often occurs within two years of the endocrine therapy course (primary endocrine therapy (ET) resistance). p53 mutation often exists in luminal B HER2-negative BC, but its application as an ET resistance predictor in those populations is still limited. The primary purpose of this research is to evaluate p53 expression and its association with primary ET resistance in luminal B HER2-negative BC. This cross-sectional study compiled 67 luminal B HER2-negative patients’ clinical data during their pre-treatment period until they completed a two-year course of endocrine therapy. They were divided into two groups: 29 patients with primary ET resistance and 38 without primary ET resistance. Pre-treatment paraffin blocks from each patient were retrieved, and the p53 expression difference between the two groups was analyzed. Positive p53 expression was significantly higher in patients with primary ET resistance [odds ratio (OR) of 11.78 (95% CI: 3.72–37.37, p-value < 0.0001)]. We conclude that p53 expression could be a beneficial marker for primary ET resistance in locally advanced luminal B HER2-negative BC. Full article
(This article belongs to the Special Issue Diagnostics Signatures of Breast Cancer)
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