دورية أكاديمية
Immune Biomarkers in Triple-Negative Breast Cancer: Improving the Predictivity of Current Testing Methods.
العنوان: | Immune Biomarkers in Triple-Negative Breast Cancer: Improving the Predictivity of Current Testing Methods. |
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المؤلفون: | Porta FM; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy., Sajjadi E; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy., Venetis K; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy., Frascarelli C; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy., Cursano G; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy., Guerini-Rocco E; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy., Fusco N; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy.; Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy., Ivanova M; Division of Pathology, IEO, European Institute of Oncology IRCCS, University of Milan, 20122 Milan, Italy. |
المصدر: | Journal of personalized medicine [J Pers Med] 2023 Jul 23; Vol. 13 (7). Date of Electronic Publication: 2023 Jul 23. |
نوع المنشور: | Journal Article; Review |
اللغة: | English |
بيانات الدورية: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101602269 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4426 (Print) Linking ISSN: 20754426 NLM ISO Abbreviation: J Pers Med Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: Basel, Switzerland : MDPI AG, 2011- |
مستخلص: | Triple-negative breast cancer (TNBC) poses a significant challenge in terms of prognosis and disease recurrence. The limited treatment options and the development of resistance to chemotherapy make it particularly difficult to manage these patients. However, recent research has been shifting its focus towards biomarker-based approaches for TNBC, with a particular emphasis on the tumor immune landscape. Immune biomarkers in TNBC are now a subject of great interest due to the presence of tumor-infiltrating lymphocytes (TILs) in these tumors. This characteristic often coincides with the presence of PD-L1 expression on both neoplastic cells and immune cells within the tumor microenvironment. Furthermore, a subset of TNBC harbor mismatch repair deficient (dMMR) TNBC, which is frequently accompanied by microsatellite instability (MSI). All of these immune biomarkers hold actionable potential for guiding patient selection in immunotherapy. To fully capitalize on these opportunities, the identification of additional or complementary biomarkers and the implementation of highly customized testing strategies are of paramount importance in TNBC. In this regard, this article aims to provide an overview of the current state of the art in immune-related biomarkers for TNBC. Specifically, it focuses on the various testing methodologies available and sheds light on the immediate future perspectives for patient selection. By delving into the advancements made in understanding the immune landscape of TNBC, this study aims to contribute to the growing body of knowledge in the field. The ultimate goal is to pave the way for the development of more personalized testing strategies, ultimately improving outcomes for TNBC patients. |
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فهرسة مساهمة: | Keywords: PD-L1; TNBC; artificial intelligence; biomarkers; breast cancer; immune landscape; microsatellite instability; mismatch repair; tumor-infiltrating lymphocytes |
تواريخ الأحداث: | Date Created: 20230729 Latest Revision: 20230801 |
رمز التحديث: | 20230801 |
مُعرف محوري في PubMed: | PMC10381494 |
DOI: | 10.3390/jpm13071176 |
PMID: | 37511789 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2075-4426 |
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DOI: | 10.3390/jpm13071176 |