Sonia Pernas1, Sara M Tolaney2. 1. Department of Medical Oncology, Catalan Institute of Oncology (ICO)-H.U.Bellvitge-IDIBELL, Barcelona, Spain. 2. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Abstract
PURPOSE OF REVIEW: HER2-positive (HER2+) breast cancer is clinically and biologically a heterogenous disease and not all patients benefit to the same extent from current anti-HER2 therapies. RECENT FINDINGS: Among HER2+ breast cancer, molecular intrinsic subtypes, PIK3CA mutation status, levels of HER2 gene/protein, immune infiltration, or intratumor heterogeneity modulate HER2-treatment sensitivity. HER2-enriched carcinomas, with high levels of HER2 and tumor-infiltrating lymphocytes (TILs) are highly sensitive to anti-HER2 therapies, regardless of chemotherapy. Luminal A/B tumors are more estrogen receptor-dependent than HER2-dependent, harbor higher rates of PIK3CA mutations, and are less responsive to anti-HER2 treatment. HER2 intratumoral heterogeneity that exists in approximately 10% of HER2+ disease may also cause treatment resistance. Early changes occur during neoadjuvant anti-HER2 therapy that can predict response. Importantly, HER2 expression is not a binary but rather a continuous variable. Overall, 34-63% of HER2-negative breast cancers express HER2, and HER2-low tumors have become a new entity, for which novel targeted therapies may be effective. SUMMARY: Although much of what is discussed currently remains investigational, it is clear that HER2+ breast cancer is a complex disease comprising different entities. Future strategies to escalate or de-escalate treatment in early-stage HER2+ disease should consider other biomarkers beyond HER2 and estrogen receptor status, including intrinsic subtype, HER2 levels, and TILs; and evaluate different treatment strategies among patients with estrogen receptor-positive/HER2+ and estrogen receptor-negative/HER2+ diseases.
PURPOSE OF REVIEW: HER2-positive (HER2+) breast cancer is clinically and biologically a heterogenous disease and not all patients benefit to the same extent from current anti-HER2 therapies. RECENT FINDINGS: Among HER2+ breast cancer, molecular intrinsic subtypes, PIK3CA mutation status, levels of HER2 gene/protein, immune infiltration, or intratumor heterogeneity modulate HER2-treatment sensitivity. HER2-enriched carcinomas, with high levels of HER2 and tumor-infiltrating lymphocytes (TILs) are highly sensitive to anti-HER2 therapies, regardless of chemotherapy. Luminal A/B tumors are more estrogen receptor-dependent than HER2-dependent, harbor higher rates of PIK3CA mutations, and are less responsive to anti-HER2 treatment. HER2 intratumoral heterogeneity that exists in approximately 10% of HER2+ disease may also cause treatment resistance. Early changes occur during neoadjuvant anti-HER2 therapy that can predict response. Importantly, HER2 expression is not a binary but rather a continuous variable. Overall, 34-63% of HER2-negative breast cancers express HER2, and HER2-low tumors have become a new entity, for which novel targeted therapies may be effective. SUMMARY: Although much of what is discussed currently remains investigational, it is clear that HER2+ breast cancer is a complex disease comprising different entities. Future strategies to escalate or de-escalate treatment in early-stage HER2+ disease should consider other biomarkers beyond HER2 and estrogen receptor status, including intrinsic subtype, HER2 levels, and TILs; and evaluate different treatment strategies among patients with estrogen receptor-positive/HER2+ and estrogen receptor-negative/HER2+ diseases.
Authors: Chewei Anderson Chang; Jayu Jen; Shaowen Jiang; Azin Sayad; Arvind Singh Mer; Kevin R Brown; Allison M L Nixon; Avantika Dhabaria; Kwan Ho Tang; David Venet; Christos Sotiriou; Jiehui Deng; Kwok-Kin Wong; Sylvia Adams; Peter Meyn; Adriana Heguy; Jane A Skok; Aristotelis Tsirigos; Beatrix Ueberheide; Jason Moffat; Abhyudai Singh; Benjamin Haibe-Kains; Alireza Khodadadi-Jamayran; Benjamin G Neel Journal: Cancer Discov Date: 2022-04-01 Impact factor: 38.272
Authors: Serena Di Cosimo; Eliana La Rocca; Silva Ljevar; Maria Carmen De Santis; Marta Bini; Vera Cappelletti; Marta Valenti; Paolo Baili; Filippo G de Braud; Secondo Folli; Gianfranco Scaperrotta; Chiara Volpi; Andrea Vingiani; Claudio Vernieri; Paolo Verderio; Rosalba Miceli; Giancarlo Pruneri Journal: Front Mol Biosci Date: 2022-09-26