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Non-genetic Heterogeneity and Immune Subtyping in Breast Cancer: Implications for Immunotherapy and Targeted Therapeutics

Overview
Journal Transl Oncol
Specialty Oncology
Date 2024 Jul 13
PMID 39002207
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Abstract

Breast cancer (BC) is a complex and multifactorial disease, driven by genetic alterations that promote tumor growth and progression. However, recent research has highlighted the importance of non-genetic factors in shaping cancer evolution and influencing therapeutic outcomes. Non-genetic heterogeneity refers to diverse subpopulations of cancer cells within breast tumors, exhibiting distinct phenotypic and functional properties. These subpopulations can arise through various mechanisms, including clonal evolution, genetic changes, epigenetic changes, and reversible phenotypic transitions. Although genetic and epigenetic changes are important points of the pathology of breast cancer yet, the immune system also plays a crucial role in its progression. In clinical management, histologic and molecular classification of BC are used. Immunological subtyping of BC has gained attention in recent years as compared to traditional techniques. Intratumoral heterogeneity revealed by immunological microenvironment (IME) has opened novel opportunities for immunotherapy research. This systematic review is focused on non-genetic variability to identify and interlink immunological subgroups in breast cancer. This review provides a deep understanding of adaptive methods adopted by tumor cells to withstand changes in the tumor microenvironment and selective pressure imposed by medications. These adaptive methods include alterations in drug targets, immune system evasion, activation of survival pathways, and alterations in metabolism. Understanding non-genetic heterogeneity is essential for the development of targeted therapies.

Citing Articles

The impact of hsa-miR-1972 on the expression of von Willebrand factor in breast cancer progression regulation.

Yu C, Zhang T, Chen F, Yu Z PeerJ. 2024; 12:e18476.

PMID: 39529627 PMC: 11552492. DOI: 10.7717/peerj.18476.

References
1.
Adams S, Gray R, Demaria S, Goldstein L, Perez E, Shulman L . Prognostic value of tumor-infiltrating lymphocytes in triple-negative breast cancers from two phase III randomized adjuvant breast cancer trials: ECOG 2197 and ECOG 1199. J Clin Oncol. 2014; 32(27):2959-66. PMC: 4162494. DOI: 10.1200/JCO.2013.55.0491. View

2.
DeSantis C, Ma J, Gaudet M, Newman L, Miller K, Sauer A . Breast cancer statistics, 2019. CA Cancer J Clin. 2019; 69(6):438-451. DOI: 10.3322/caac.21583. View

3.
Beca F, Polyak K . Intratumor Heterogeneity in Breast Cancer. Adv Exp Med Biol. 2016; 882:169-89. DOI: 10.1007/978-3-319-22909-6_7. View

4.
Prat A, Pineda E, Adamo B, Galvan P, Fernandez A, Gaba L . Clinical implications of the intrinsic molecular subtypes of breast cancer. Breast. 2015; 24 Suppl 2:S26-35. DOI: 10.1016/j.breast.2015.07.008. View

5.
Gatza M, Lucas J, Barry W, Kim J, Wang Q, Crawford M . A pathway-based classification of human breast cancer. Proc Natl Acad Sci U S A. 2010; 107(15):6994-9. PMC: 2872436. DOI: 10.1073/pnas.0912708107. View