Literature DB >> 34183353

Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative.

Philippe Aftimos1, Mafalda Oliveira2, Alexandre Irrthum3, Debora Fumagalli3, Christos Sotiriou1, Einav Nili Gal-Yam4, Mark E Robson5, Justin Ndozeng1, Angelo Di Leo6, Eva M Ciruelos7, Evandro de Azambuja1, Giuseppe Viale8, Elsemieke D Scheepers9, Giuseppe Curigliano8, Judith M Bliss10, Jorge S Reis-Filho6, Marco Colleoni8, Marija Balic11, Fatima Cardoso12, Joan Albanell13, Caroline Duhem14, Sandrine Marreaud15, Dario Romagnoli4, Beatriz Rojas16, Andrea Gombos1, Hans Wildiers17, Angel Guerrero-Zotano18, Peter Hall19, Andrea Bonetti20, Karolina Fs Larsson21, Martina Degiorgis14, Silvia Khodaverdi22, Richard Greil23, Ásgerdur Sverrisdóttir24, Marta Paoli4, Ethel Seyll1, Sibylle Loibl25, Barbro Linderholm21, Gabriele Zoppoli26, Nancy E Davidson27, Oskar Th Johannsson28, Philippe L Bedard29, Sherene Loi30, Susan Knox31, David A Cameron19, Nadia Harbeck32, Maite Lasa Montoya3, Mariana Brandão1, Andrea Vingiani33, Carmela Caballero3, Florentine S Hilbers3, Lucy R Yates34, Matteo Benelli6, David Venet1, Martine J Piccart35,3.   

Abstract

AURORA aims to study the processes of relapse in metastatic breast cancer (MBC) by performing multi-omics profiling on paired primary tumors and early-course metastases. Among 381 patients (primary tumor and metastasis pairs: 252 targeted gene sequencing, 152 RNA sequencing, 67 single nucleotide polymorphism arrays), we found a driver role for GATA1 and MEN1 somatic mutations. Metastases were enriched in ESR1, PTEN, CDH1, PIK3CA, and RB1 mutations; MDM4 and MYC amplifications; and ARID1A deletions. An increase in clonality was observed in driver genes such as ERBB2 and RB1. Intrinsic subtype switching occurred in 36% of cases. Luminal A/B to HER2-enriched switching was associated with TP53 and/or PIK3CA mutations. Metastases had lower immune score and increased immune-permissive cells. High tumor mutational burden correlated to shorter time to relapse in HR+/HER2- cancers. ESCAT tier I/II alterations were detected in 51% of patients and matched therapy was used in 7%. Integration of multi-omics analyses in clinical practice could affect treatment strategies in MBC. SIGNIFICANCE: The AURORA program, through the genomic and transcriptomic analyses of matched primary and metastatic samples from 381 patients with breast cancer, coupled with prospectively collected clinical data, identified genomic alterations enriched in metastases and prognostic biomarkers. ESCAT tier I/II alterations were detected in more than half of the patients.This article is highlighted in the In This Issue feature, p. 2659. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2021        PMID: 34183353     DOI: 10.1158/2159-8290.CD-20-1647

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  9 in total

1.  Implication of body mass index (BMI) on the biological and clinical effects of endocrine therapy plus abemaciclib as neoadjuvant therapy for early breast cancer patients.

Authors:  Maria Alice Franzoi; Matteo Lambertini; Marcello Ceppi; Marco Bruzzone; Evandro de Azambuja
Journal:  Breast Cancer Res Treat       Date:  2022-01-25       Impact factor: 4.872

Review 2.  Endocrine resistance in breast cancer: from molecular mechanisms to therapeutic strategies.

Authors:  Ozge Saatci; Kim-Tuyen Huynh-Dam; Ozgur Sahin
Journal:  J Mol Med (Berl)       Date:  2021-10-08       Impact factor: 4.599

Review 3.  Challenges and Obstacles in Applying Therapeutical Indications Formulated in Molecular Tumor Boards.

Authors:  Edoardo Crimini; Matteo Repetto; Paolo Tarantino; Liliana Ascione; Gabriele Antonarelli; Elena Guerini Rocco; Massimo Barberis; Luca Mazzarella; Giuseppe Curigliano
Journal:  Cancers (Basel)       Date:  2022-06-29       Impact factor: 6.575

Review 4.  The Road to Dissemination: The Concept of Oligometastases and the Barriers for Widespread Disease.

Authors:  Hamza AlGhamdi; Jennifer Dhont; Mohammad Krayem; Pauline De Bruyn; Benedikt Engels; Dirk Van Gestel; Robbe Van den Begin
Journal:  Cancers (Basel)       Date:  2022-04-18       Impact factor: 6.575

Review 5.  Beyond Genetics: Metastasis as an Adaptive Response in Breast Cancer.

Authors:  Federica Ruscitto; Niccolò Roda; Chiara Priami; Enrica Migliaccio; Pier Giuseppe Pelicci
Journal:  Int J Mol Sci       Date:  2022-06-03       Impact factor: 6.208

Review 6.  Genomic Characterization of De Novo Metastatic Breast Cancer.

Authors:  Samyukta Mullangi; Neil Vasan
Journal:  Clin Breast Cancer       Date:  2021-11-26       Impact factor: 3.225

Review 7.  Epigenetic Mechanisms Influencing Therapeutic Response in Breast Cancer.

Authors:  Amaia Arruabarrena-Aristorena; Eneda Toska
Journal:  Front Oncol       Date:  2022-06-14       Impact factor: 5.738

Review 8.  Breast cancer metastasis: Is it a matter of OMICS and proper ex-vivo models?

Authors:  Mario Cioce; Andrea Sacconi; Sara Donzelli; Claudia Bonomo; Letizia Perracchio; Mariantonia Carosi; Stefano Telera; Vito Michele Fazio; Claudio Botti; Sabrina Strano; Giovanni Blandino
Journal:  Comput Struct Biotechnol J       Date:  2022-07-28       Impact factor: 6.155

Review 9.  The Molecular Predictive and Prognostic Biomarkers in Metastatic Breast Cancer: The Contribution of Molecular Profiling.

Authors:  Benjamin Verret; Michele Bottosso; Sofia Hervais; Barbara Pistilli
Journal:  Cancers (Basel)       Date:  2022-08-30       Impact factor: 6.575

  9 in total

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