Literature DB >> 34965950

Impact of Duration of Neoadjuvant Aromatase Inhibitors on Molecular Expression Profiles in Estrogen Receptor-positive Breast Cancers.

Milana A Bergamino1, Gabriele Morani1, Joel Parker2, Eugene F Schuster3, Mariana F Leal3, Elena López-Knowles3, Holly Tovey1, Judith M Bliss1, John F R Robertson4, Ian E Smith3, Mitch Dowsett3,5, Maggie C U Cheang1.   

Abstract

PURPOSE: Aromatase inhibitor (AI) treatment is the standard of care for postmenopausal women with primary estrogen receptor-positive breast cancer. The impact of duration of neoadjuvant endocrine therapy (NET) on molecular characteristics is still unknown. We evaluated and compared changes of gene expression profiles under short-term (2-week) versus longer-term neoadjuvant AIs. EXPERIMENTAL
DESIGN: Global gene expression profiles from the PeriOperative Endocrine Therapy for Individualised Care (POETIC) trial (137 received 2 weeks of AIs and 47 received no treatment) and targeted gene expression from 80 patients with breast cancer treated with NET for more than 1 month (NeoAI) were assessed. Intrinsic subtyping, module scores covering different cancer pathways and immune-related genes were calculated for pretreated and posttreated tumors.
RESULTS: The differences in intrinsic subtypes after NET were comparable between the two cohorts, with most Luminal B (90.0% in the POETIC trial and 76.3% in NeoAI) and 50.0% of HER2 enriched at baseline reclassified as Luminal A or normal-like after NET. Downregulation of proliferative-related pathways was observed after 2 weeks of AIs. However, more changes in genes from cancer-signaling pathways such as MAPK and PI3K/AKT/mTOR and immune response/immune-checkpoint components that were associated with AI-resistant tumors and differential outcome were observed in the NeoAI study.
CONCLUSIONS: Tumor transcriptional profiles undergo bigger changes in response to longer NET. Changes in HER2-enriched and Luminal B subtypes are similar between the two cohorts, thus AI-sensitive intrinsic subtype tumors associated with good survival might be identified after 2 weeks of AI. The changes of immune-checkpoint component expression in early AI resistance and its impact on survival outcome warrants careful investigation in clinical trials. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 34965950      PMCID: PMC7612503          DOI: 10.1158/1078-0432.CCR-21-2718

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  49 in total

1.  Significance analysis of microarrays applied to the ionizing radiation response.

Authors:  V G Tusher; R Tibshirani; G Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-17       Impact factor: 11.205

2.  Gene expression profiling and prediction of response to hormonal neoadjuvant treatment with anastrozole in surgically resectable breast cancer.

Authors:  Maurizia Mello-Grand; Vijay Singh; Chiara Ghimenti; Maria Scatolini; Lea Regolo; Enrico Grosso; Alberto Zambelli; Gian Antonio Da Prada; Laura Villani; Vittorio Fregoni; Paola Baiardi; Silvia Marsoni; William R Miller; Alberto Costa; Giovanna Chiorino
Journal:  Breast Cancer Res Treat       Date:  2010-04-29       Impact factor: 4.872

3.  ERα-dependent E2F transcription can mediate resistance to estrogen deprivation in human breast cancer.

Authors:  Todd W Miller; Justin M Balko; Emily M Fox; Zara Ghazoui; Anita Dunbier; Helen Anderson; Mitch Dowsett; Aixiang Jiang; R Adam Smith; Sauveur-Michel Maira; H Charles Manning; Ana M González-Angulo; Gordon B Mills; Catherine Higham; Siprachanh Chanthaphaychith; Maria G Kuba; William R Miller; Yu Shyr; Carlos L Arteaga
Journal:  Cancer Discov       Date:  2011-07-20       Impact factor: 39.397

4.  Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures.

Authors:  Cheng Fan; Aleix Prat; Joel S Parker; Yufeng Liu; Lisa A Carey; Melissa A Troester; Charles M Perou
Journal:  BMC Med Genomics       Date:  2011-01-09       Impact factor: 3.063

5.  A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer.

Authors:  Tomás Pascual; Miguel Martin; Aranzazu Fernández-Martínez; Laia Paré; Emilio Alba; Álvaro Rodríguez-Lescure; Giuseppe Perrone; Javier Cortés; Serafín Morales; Ana Lluch; Ander Urruticoechea; Blanca González-Farré; Patricia Galván; Pedro Jares; Adela Rodriguez; Nuria Chic; Daniela Righi; Juan Miguel Cejalvo; Giuseppe Tonini; Barbara Adamo; Maria Vidal; Patricia Villagrasa; Montserrat Muñoz; Aleix Prat
Journal:  Front Oncol       Date:  2019-04-26       Impact factor: 6.244

6.  Cancer-immune interactions in ER-positive breast cancers: PI3K pathway alterations and tumor-infiltrating lymphocytes.

Authors:  Marcelo Sobral-Leite; Izhar Salomon; Mark Opdam; Dinja T Kruger; Karin J Beelen; Vincent van der Noort; Ronald L P van Vlierberghe; Erik J Blok; Daniele Giardiello; Joyce Sanders; Koen Van de Vijver; Hugo M Horlings; Peter J K Kuppen; Sabine C Linn; Marjanka K Schmidt; Marleen Kok
Journal:  Breast Cancer Res       Date:  2019-08-07       Impact factor: 6.466

7.  Heterocellular gene signatures reveal luminal-A breast cancer heterogeneity and differential therapeutic responses.

Authors:  Pawan Poudel; Gift Nyamundanda; Yatish Patil; Maggie Chon U Cheang; Anguraj Sadanandam
Journal:  NPJ Breast Cancer       Date:  2019-08-02

Review 8.  Overview of the relevance of PI3K pathway in HR-positive breast cancer.

Authors:  N Vasan; E Toska; M Scaltriti
Journal:  Ann Oncol       Date:  2019-12-01       Impact factor: 32.976

9.  Repeated observation of breast tumor subtypes in independent gene expression data sets.

Authors:  Therese Sorlie; Robert Tibshirani; Joel Parker; Trevor Hastie; J S Marron; Andrew Nobel; Shibing Deng; Hilde Johnsen; Robert Pesich; Stephanie Geisler; Janos Demeter; Charles M Perou; Per E Lønning; Patrick O Brown; Anne-Lise Børresen-Dale; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-26       Impact factor: 12.779

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