Literature DB >> 29242214

Expressed Gene Fusions as Frequent Drivers of Poor Outcomes in Hormone Receptor-Positive Breast Cancer.

Karina J Matissek1,2, Maristela L Onozato3, Sheng Sun1,2, Zongli Zheng2,3,4, Andrew Schultz1, Jesse Lee3, Kristofer Patel1, Piiha-Lotta Jerevall2,3, Srinivas Vinod Saladi1,2, Allison Macleay3, Mehrad Tavallai1,2, Tanja Badovinac-Crnjevic5, Carlos Barrios6, Nuran Beşe7, Arlene Chan8, Yanin Chavarri-Guerra9, Marcio Debiasi6, Elif Demirdögen10, Ünal Egeli10, Sahsuvar Gökgöz10, Henry Gomez11, Pedro Liedke6, Ismet Tasdelen10, Sahsine Tolunay10, Gustavo Werutsky6, Jessica St Louis1, Nora Horick12, Dianne M Finkelstein2,12, Long Phi Le2,3, Aditya Bardia1,2, Paul E Goss1,2, Dennis C Sgroi2,3, A John Iafrate2,3, Leif W Ellisen13,2.   

Abstract

We sought to uncover genetic drivers of hormone receptor-positive (HR+) breast cancer, using a targeted next-generation sequencing approach for detecting expressed gene rearrangements without prior knowledge of the fusion partners. We identified intergenic fusions involving driver genes, including PIK3CA, AKT3, RAF1, and ESR1, in 14% (24/173) of unselected patients with advanced HR+ breast cancer. FISH confirmed the corresponding chromosomal rearrangements in both primary and metastatic tumors. Expression of novel kinase fusions in nontransformed cells deregulates phosphoprotein signaling, cell proliferation, and survival in three-dimensional culture, whereas expression in HR+ breast cancer models modulates estrogen-dependent growth and confers hormonal therapy resistance in vitro and in vivo Strikingly, shorter overall survival was observed in patients with rearrangement-positive versus rearrangement-negative tumors. Correspondingly, fusions were uncommon (<5%) among 300 patients presenting with primary HR+ breast cancer. Collectively, our findings identify expressed gene fusions as frequent and potentially actionable drivers in HR+ breast cancer.Significance: By using a powerful clinical molecular diagnostic assay, we identified expressed intergenic fusions as frequent contributors to treatment resistance and poor survival in advanced HR+ breast cancer. The prevalence and biological and prognostic significance of these alterations suggests that their detection may alter clinical management and bring to light new therapeutic opportunities. Cancer Discov; 8(3); 336-53. ©2017 AACR.See related commentary by Natrajan et al., p. 272See related article by Liu et al., p. 354This article is highlighted in the In This Issue feature, p. 253. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29242214     DOI: 10.1158/2159-8290.CD-17-0535

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


  18 in total

1.  Landscape analysis of adjacent gene rearrangements reveals BCL2L14-ETV6 gene fusions in more aggressive triple-negative breast cancer.

Authors:  Sanghoon Lee; Yiheng Hu; Suet Kee Loo; Ying Tan; Rohit Bhargava; Michael T Lewis; Xiao-Song Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-22       Impact factor: 11.205

2.  Frequent ESR1 and CDK Pathway Copy-Number Alterations in Metastatic Breast Cancer.

Authors:  Ahmed Basudan; Nolan Priedigkeit; Ryan J Hartmaier; Ethan S Sokol; Amir Bahreini; Rebecca J Watters; Michelle M Boisen; Rohit Bhargava; Kurt R Weiss; Maria M Karsten; Carsten Denkert; Jens-Uwe Blohmer; Jose P Leone; Ronald L Hamilton; Adam M Brufsky; Esther Elishaev; Peter C Lucas; Adrian V Lee; Steffi Oesterreich
Journal:  Mol Cancer Res       Date:  2018-10-24       Impact factor: 5.852

3.  Enrichment of kinase fusions in ESR1 wild-type, metastatic breast cancer revealed by a systematic analysis of 4854 patients.

Authors:  D S Ross; B Liu; A M Schram; P Razavi; S M Lagana; Y Zhang; M Scaltriti; J F Bromberg; M Ladanyi; D M Hyman; A Drilon; A Zehir; R Benayed; S Chandarlapaty; J F Hechtman
Journal:  Ann Oncol       Date:  2020-04-26       Impact factor: 32.976

4.  Patient-Driven Discovery, Therapeutic Targeting, and Post-Clinical Validation of a Novel AKT1 Fusion-Driven Cancer.

Authors:  Emily K Slotkin; Daniel Diolaiti; Neerav N Shukla; Filemon S Dela Cruz; Jennifer J Clark; Gunes Gundem; Venkata D Yellapantula; Max F Levine; Daoqi You; Peilin Ma; Sagarika Pachhal; Glorymar Ibanez Sanchez; Ryma Benayed; Achim A Jungbluth; Lillian M Smyth; Audrey Mauguen; Irena Gushterova; Hongxu Ding; Lee Spraggon; Robert Darnell; Andrea Califano; Marc Ladanyi; Elli Papaemmanuil; Andrew L Kung; David M Hyman; Stephen S Roberts
Journal:  Cancer Discov       Date:  2019-03-15       Impact factor: 39.397

5.  Molecular characterization of ESR1 variants in breast cancer.

Authors:  Arielle L Heeke; Andrew Elliott; Rebecca Feldman; Hazel F O'Connor; Paula R Pohlmann; Filipa Lynce; Sandra M Swain; Maria R Nunes; Daniel Magee; Matthew J Oberley; Jeffrey Swenson; Gregory Vidal; Claudine Isaacs; Lee Schwartzberg; W Michael Korn; Antoinette R Tan
Journal:  Breast Cancer Res Treat       Date:  2022-09-20       Impact factor: 4.624

6.  Driver Oncogenes but Not as We Know Them: Targetable Fusion Genes in Breast Cancer.

Authors:  Rachael Natrajan; Andrew N J Tutt; Christopher J Lord
Journal:  Cancer Discov       Date:  2018-03       Impact factor: 39.397

Review 7.  Fusion-associated carcinomas of the breast: Diagnostic, prognostic, and therapeutic significance.

Authors:  Suet Kee Loo; Megan E Yates; Sichun Yang; Steffi Oesterreich; Adrian V Lee; Xiao-Song Wang
Journal:  Genes Chromosomes Cancer       Date:  2022-02-17       Impact factor: 5.006

8.  Identification of recurrent fusion genes across multiple cancer types.

Authors:  Yan-Ping Yu; Peng Liu; Joel Nelson; Ronald L Hamilton; Rohit Bhargava; George Michalopoulos; Qi Chen; Jun Zhang; Deqin Ma; Arjun Pennathur; James Luketich; Michael Nalesnik; George Tseng; Jian-Hua Luo
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

Review 9.  Cancer immunosurveillance by CD8 T cells.

Authors:  José C Crispin; George C Tsokos
Journal:  F1000Res       Date:  2020-02-03

10.  A Novel Neoplastic Fusion Transcript, RAD51AP1-DYRK4, Confers Sensitivity to the MEK Inhibitor Trametinib in Aggressive Breast Cancers.

Authors:  Chia-Chia Liu; Jamunarani Veeraraghavan; Ying Tan; Jin-Ah Kim; Xian Wang; Suet Kee Loo; Sanghoon Lee; Yiheng Hu; Xiao-Song Wang
Journal:  Clin Cancer Res       Date:  2020-11-10       Impact factor: 13.801

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