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Grant Details

Grant Number: 2R01CA229409-06A1 Interpret this number
Primary Investigator: Carey, Lisa
Organization: Univ Of North Carolina Chapel Hill
Project Title: Optimizing Prognostic and Predictive Algorithms Using Residual Disease (RD) Genomic Biomarkers in Her2+ and Tnbc
Fiscal Year: 2025


Abstract

Abstract HER2-positive (HER2+) and triple negative breast cancer (TNBC) are the most aggressive clinical breast cancer subtypes and share similar treatment approaches and unmet needs. Both are treated with either anti- HER2 drugs (for HER2+), or immunotherapy (for TNBC), added to polychemotherapy prior to surgery, called “neoadjuvant” therapy. Residual disease (RD) at surgery is seen in 45% of HER2+ and 35% of TNBC and carries a significantly poorer prognosis. For this reason, both HER2+ and TNBC receive additional therapy postoperatively ("adjuvantly"), namely an anti-HER2 antibody-drug conjugate (ADC) in HER2+, and additional chemotherapy added to ongoing immunotherapy in TNBC. This approach has resulted in significantly improved outcomes in both of these subtypes but is expensive, toxic, and overtreats many patients. We aim to better understand the biology and heterogeneity of the residual disease setting, including prediction of response to therapy and prognosis, in order to better tailor adjuvant therapy. We and others have previously identified a common theme in neoadjuvantly treated HER2+ and TNBC in that immune activation assessed by T cell and B cell gene expression in untreated tumors is a strong predictor of complete response (pCR) to chemotherapy, HER2-targeting, and immunotherapy, resulting in improved survival. However, we still lack biomarker information to tailor treatment in RD. We now propose to focus on the unmet needs of patients with RD in both HER2+ (Aim 1) and TNBC (Aim 2) by integrating and analyzing data from >2,500 women participating in clinical trials from each subset, by performing genomic analysis of RD specimens and using these data to improve prognostication in the two clinical subsets. We will compare paired untreated versus post-treatment RD tumors to identify how tumor and immune biology is changed in residual disease. Importantly, we will determine if biomarkers assayed from RD specimens improves prognostication and identification of those who may need, or not need, additional postoperative ADC (in HER2+) or chemotherapy (in TNBC). We will use supervised learning to build multi-feature computational prognostic models using RD specimens. We will examine the nature and role of residual disease tumor cells and the microenvironment by single-cell spatial transcriptomics to further understand how the interaction between both elements affects survival outcomes in patients with HER2+ and TNBC.



Publications

Proteogenomic analysis of the CALGB 40601 (Alliance) HER2+ breast cancer neoadjuvant trial reveals resistance biomarkers.
Authors: Jaehnig E.J. , Fernandez-Martinez A. , Vashist T.D. , Holt M.V. , Williams L. , Lei J.T. , Moon C.I. , Kim B.J. , Dou Y. , Zhao H. , et al. .
Source: Cell Reports. Medicine, 2025-06-17 00:00:00.0; 6(6), p. 102154.
EPub date: 2025-06-05 00:00:00.0.
PMID: 40480221
Related Citations

Prognostic value of residual disease (RD) biology and gene expression changes during the neoadjuvant treatment in patients with HER2+ early breast cancer (EBC).
Authors: Fernandez-Martinez A. , Tanioka M. , Ahn S.G. , Zagami P. , Pascual T. , Rediti M. , Tang G. , Hoadley K.A. , Venet D. , Rashid N.U. , et al. .
Source: Annals Of Oncology : Official Journal Of The European Society For Medical Oncology, 2024-12-18 00:00:00.0; , .
EPub date: 2024-12-18 00:00:00.0.
PMID: 39706338
Related Citations

Tumor Intrinsic Subtypes and Gene Expression Signatures in Early-Stage ERBB2/HER2-Positive Breast Cancer: A Pooled Analysis of CALGB 40601, NeoALTTO, and NSABP B-41 Trials.
Authors: Fernandez-Martinez A. , Rediti M. , Tang G. , Pascual T. , Hoadley K.A. , Venet D. , Rashid N.U. , Spears P.A. , Islam M.N. , El-Abed S. , et al. .
Source: Jama Oncology, 2024-03-28 00:00:00.0; , .
EPub date: 2024-03-28 00:00:00.0.
PMID: 38546612
Related Citations

Prognostic value of HER2DX in early-stage HER2-positive breast cancer: a comprehensive analysis of 757 patients in the Sweden Cancerome Analysis Network-Breast dataset (SCAN-B).
Authors: Villacampa G. , Pascual T. , Brasó-Maristany F. , Paré L. , Martínez-Sáez O. , Cortés J. , Ciruelos E. , Martin M. , Conte P. , Carey L.A. , et al. .
Source: Esmo Open, 2024 Mar; 9(3), p. 102388.
EPub date: 2024-03-04 00:00:00.0.
PMID: 38442452
Related Citations

Association of PIK3CA Mutation With Pathologic Complete Response and Outcome by Hormone Receptor Status and Intrinsic Subtype in Early-Stage ERBB2/HER2-Positive Breast Cancer.
Authors: Zagami P. , Fernandez-Martinez A. , Rashid N.U. , Hoadley K.A. , Spears P.A. , Curigliano G. , Perou C.M. , Carey L.A. .
Source: Jama Network Open, 2023-12-01 00:00:00.0; 6(12), p. e2348814.
EPub date: 2023-12-01 00:00:00.0.
PMID: 38117494
Related Citations

Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials.
Authors: Rediti M. , Fernandez-Martinez A. , Venet D. , Rothé F. , Hoadley K.A. , Parker J.S. , Singh B. , Campbell J.D. , Ballman K.V. , Hillman D.W. , et al. .
Source: Nature Communications, 2023-11-03 00:00:00.0; 14(1), p. 7053.
EPub date: 2023-11-03 00:00:00.0.
PMID: 37923752
Related Citations

Prognostic and Predictive Value of Immune-Related Gene Expression Signatures vs Tumor-Infiltrating Lymphocytes in Early-Stage ERBB2/HER2-Positive Breast Cancer: A Correlative Analysis of the CALGB 40601 and PAMELA Trials.
Authors: Fernandez-Martinez A. , Pascual T. , Singh B. , Nuciforo P. , Rashid N.U. , Ballman K.V. , Campbell J.D. , Hoadley K.A. , Spears P.A. , Pare L. , et al. .
Source: Jama Oncology, 2023-01-05 00:00:00.0; , .
EPub date: 2023-01-05 00:00:00.0.
PMID: 36602784
Related Citations

Independent Validation of the PAM50-Based Chemo-Endocrine Score (CES) in Hormone Receptor-Positive HER2-Positive Breast Cancer Treated with Neoadjuvant Anti-HER2-Based Therapy.
Authors: Pascual T. , Fernandez-Martinez A. , Tanioka M. , Dieci M.V. , Pernas S. , Gavila J. , Guarnieri V. , Cortes J. , Villagrasa P. , Chic N. , et al. .
Source: Clinical Cancer Research : An Official Journal Of The American Association For Cancer Research, 2021-06-01 00:00:00.0; 27(11), p. 3116-3125.
EPub date: 2021-02-25 00:00:00.0.
PMID: 33632929
Related Citations

Survival, Pathologic Response, and Genomics in CALGB 40601 (Alliance), a Neoadjuvant Phase III Trial of Paclitaxel-Trastuzumab With or Without Lapatinib in HER2-Positive Breast Cancer.
Authors: Fernandez-Martinez A. , Krop I.E. , Hillman D.W. , Polley M.Y. , Parker J.S. , Huebner L. , Hoadley K.A. , Shepherd J. , Tolaney S. , Henry N.L. , et al. .
Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2020-12-10 00:00:00.0; 38(35), p. 4184-4193.
EPub date: 2020-10-23 00:00:00.0.
PMID: 33095682
Related Citations

A multivariable prognostic score to guide systemic therapy in early-stage HER2-positive breast cancer: a retrospective study with an external evaluation.
Authors: Prat A. , Guarneri V. , Paré L. , Griguolo G. , Pascual T. , Dieci M.V. , Chic N. , González-Farré B. , Frassoldati A. , Sanfeliu E. , et al. .
Source: The Lancet. Oncology, 2020 11; 21(11), p. 1455-1464.
PMID: 33152285
Related Citations

What Is the Real Impact of Estrogen Receptor Status on the Prognosis and Treatment of HER2-Positive Early Breast Cancer?
Authors: Brandão M. , Caparica R. , Malorni L. , Prat A. , Carey L.A. , Piccart M. .
Source: Clinical Cancer Research : An Official Journal Of The American Association For Cancer Research, 2020-06-15 00:00:00.0; 26(12), p. 2783-2788.
EPub date: 2020-02-11 00:00:00.0.
PMID: 32046997
Related Citations

HER2-enriched subtype and pathological complete response in HER2-positive breast cancer: A systematic review and meta-analysis.
Authors: Schettini F. , Pascual T. , Conte B. , Chic N. , Brasó-Maristany F. , Galván P. , Martínez O. , Adamo B. , Vidal M. , Muñoz M. , et al. .
Source: Cancer Treatment Reviews, 2020 Mar; 84, p. 101965.
EPub date: 2020-01-17 00:00:00.0.
PMID: 32000054
Related Citations



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