Personalized Therapy of Hormone-Responsive Breast Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".

Deadline for manuscript submissions: closed (20 October 2024) | Viewed by 4069

Special Issue Editors


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Guest Editor
Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Auerbachstr. 112, 70376 Stuttgart, Germany
Interests: pharmacology of anti-cancer drugs; pharmacogenetics of anti-estrogens; ex vivo models of human tumors (tissue culture, organoids) to investigate anti-cancer drugs

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Guest Editor
Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Auerbachstrasse 112, 70376 Stuttgart, Germany
Interests: pharmacogenomics of breast cancer; estrogen receptor regulation and signaling; treatment prediction; tumor profiling

Special Issue Information

Dear Colleagues, 

Breast cancer is the leading malignancy worldwide with 2.26 million new cases diagnosed in 2020 and an increasing incidence. Approximately 70–80% of tumors are hormone-receptor positive and therefore are considered for endocrine therapy. Treatment modalities depend on patients’ menopausal status, tumor stage, performance status, and tumor markers. More than 30% of patients in the adjuvant and even more in advanced stages suffer from disease progress due to intrinsic or acquired resistance against endocrine therapy. To overcome treatment failures, including drug discontinuation due to drug-induced toxicity, better prognostic markers—but also new treatment opportunities—are needed.

This Special Issue will focus on basic, translational, and clinical studies aiming to improve endocrine therapy by the identification of new and better predictors for personalized treatment decisions and therapeutic approaches, including the selection of multimodal targets, the use of bioinformatic prediction tools, and both mechanistic and clinical investigations to overcome endocrine drug failure in breast cancer.

Dr. Thomas Mürdter
Dr. Werner Schroth
Guest Editors

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Keywords

  • hormone
  • therapy
  • breast cancer
  • estrogens
  • resistance
  • combinational therapy
  • anti-estrogens, kinase inhibitors
  • checkpoint inhibitors
  • chemotherapy
  • in vitro models
  • clinical trials

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Published Papers (1 paper)

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Review

22 pages, 1964 KiB  
Review
Genetics, Treatment, and New Technologies of Hormone Receptor-Positive Breast Cancer
by William Sebastian, Lauren Forchette, Kelsey Donoughe, Yibei Lun, Anisha Verma and Tuoen Liu
Cancers 2023, 15(4), 1303; https://doi.org/10.3390/cancers15041303 - 18 Feb 2023
Cited by 3 | Viewed by 3329
Abstract
The current molecular classification divides breast cancer into four major subtypes, including luminal A, luminal B, HER2-positive, and basal-like, based on receptor gene expression profiling. Luminal A and luminal B are hormone receptor (HR, estrogen, and/or progesterone receptor)-positive and are the most common [...] Read more.
The current molecular classification divides breast cancer into four major subtypes, including luminal A, luminal B, HER2-positive, and basal-like, based on receptor gene expression profiling. Luminal A and luminal B are hormone receptor (HR, estrogen, and/or progesterone receptor)-positive and are the most common subtypes, accounting for around 50–60% and 15–20% of the total breast cancer cases, respectively. The drug treatment for HR-positive breast cancer includes endocrine therapy, HER2-targeted therapy (depending on the HER2 status), and chemotherapy (depending on the risk of recurrence). In this review, in addition to classification, we focused on discussing the important aspects of HR-positive breast cancer, including HR structure and signaling, genetics, including epigenetics and gene mutations, gene expression-based assays, the traditional and new drugs for treatment, and novel or new uses of technology in diagnosis and treatment. Particularly, we have summarized the commonly mutated genes and abnormally methylated genes in HR-positive breast cancer and compared four common gene expression-based assays that are used in breast cancer as prognostic and/or predictive tools in detail, including their clinical use, the factors being evaluated, patient demographics, and the scoring systems. All these topic discussions have not been fully described and summarized within other research or review articles. Full article
(This article belongs to the Special Issue Personalized Therapy of Hormone-Responsive Breast Cancer)
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