Literature DB >> 33782032

Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer.

Argun Akcakanat1, Xiaofeng Zheng2, Christian X Cruz Pico3, Tae-Beom Kim2, Ken Chen2, Anil Korkut2, Aysegul Sahin4, Vijaykumar Holla5, Emily Tarco1, Gopal Singh1, Senthil Damodaran6, Gordon B Mills7,8, Ana Maria Gonzalez-Angulo6, Funda Meric-Bernstam9,5,10.   

Abstract

PURPOSE: Metastatic breast cancer (MBC) is not curable and there is a growing interest in personalized therapy options. Here we report molecular profiling of MBC focusing on molecular evolution in actionable alterations. EXPERIMENTAL
DESIGN: Sixty-two patients with MBC were included. An analysis of DNA, RNA, and functional proteomics was done, and matched primary and metastatic tumors were compared when feasible.
RESULTS: Targeted exome sequencing of 41 tumors identified common alterations in TP53 (21; 51%) and PIK3CA (20; 49%), as well as alterations in several emerging biomarkers such as NF1 mutations/deletions (6; 15%), PTEN mutations (4; 10%), and ARID1A mutations/deletions (6; 15%). Among 27 hormone receptor-positive patients, we identified MDM2 amplifications (3; 11%), FGFR1 amplifications (5; 19%), ATM mutations (2; 7%), and ESR1 mutations (4; 15%). In 10 patients with matched primary and metastatic tumors that underwent targeted exome sequencing, discordances in actionable alterations were common, including NF1 loss in 3 patients, loss of PIK3CA mutation in 1 patient, and acquired ESR1 mutations in 3 patients. RNA sequencing in matched samples confirmed loss of NF1 expression with genomic NF1 loss. Among 33 patients with matched primary and metastatic samples that underwent RNA profiling, 14 actionable genes were differentially expressed, including antibody-drug conjugate targets LIV-1 and B7-H3.
CONCLUSIONS: Molecular profiling in MBC reveals multiple common as well as less frequent but potentially actionable alterations. Genomic and transcriptional profiling demonstrates intertumoral heterogeneity and potential evolution of actionable targets with tumor progression. Further work is needed to optimize testing and integrated analysis for treatment selection. ©2021 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33782032      PMCID: PMC8172429          DOI: 10.1158/1078-0432.CCR-20-4048

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  61 in total

Review 1.  Precision Oncology Decision Support: Current Approaches and Strategies for the Future.

Authors:  Katherine C Kurnit; Ecaterina E Ileana Dumbrava; Beate Litzenburger; Yekaterina B Khotskaya; Amber M Johnson; Timothy A Yap; Jordi Rodon; Jia Zeng; Md Abu Shufean; Ann M Bailey; Nora S Sánchez; Vijaykumar Holla; John Mendelsohn; Kenna Mills Shaw; Elmer V Bernstam; Gordon B Mills; Funda Meric-Bernstam
Journal:  Clin Cancer Res       Date:  2018-02-02       Impact factor: 12.531

2.  Capivasertib Plus Paclitaxel Versus Placebo Plus Paclitaxel As First-Line Therapy for Metastatic Triple-Negative Breast Cancer: The PAKT Trial.

Authors:  Peter Schmid; Jacinta Abraham; Stephen Chan; Duncan Wheatley; Adrian Murray Brunt; Gia Nemsadze; Richard D Baird; Yeon Hee Park; Peter S Hall; Timothy Perren; Robert C Stein; László Mangel; Jean-Marc Ferrero; Melissa Phillips; John Conibear; Javier Cortes; Andrew Foxley; Elza C de Bruin; Robert McEwen; Daniel Stetson; Brian Dougherty; Shah-Jalal Sarker; Aaron Prendergast; Max McLaughlin-Callan; Matthew Burgess; Cheryl Lawrence; Hayley Cartwright; Kelly Mousa; Nicholas C Turner
Journal:  J Clin Oncol       Date:  2019-12-16       Impact factor: 44.544

Review 3.  ESR1 mutations in breast cancer.

Authors:  Derek Dustin; Guowei Gu; Suzanne A W Fuqua
Journal:  Cancer       Date:  2019-07-18       Impact factor: 6.860

4.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

5.  Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer.

Authors:  Ana M Gonzalez-Angulo; Bryan T Hennessy; Funda Meric-Bernstam; Aysegul Sahin; Wenbin Liu; Zhenlin Ju; Mark S Carey; Simen Myhre; Corey Speers; Lei Deng; Russell Broaddus; Ana Lluch; Sam Aparicio; Powel Brown; Lajos Pusztai; W Fraser Symmans; Jan Alsner; Jens Overgaard; Anne-Lise Borresen-Dale; Gabriel N Hortobagyi; Kevin R Coombes; Gordon B Mills
Journal:  Clin Proteomics       Date:  2011-07-08       Impact factor: 3.988

6.  Causal analysis approaches in Ingenuity Pathway Analysis.

Authors:  Andreas Krämer; Jeff Green; Jack Pollard; Stuart Tugendreich
Journal:  Bioinformatics       Date:  2013-12-13       Impact factor: 6.937

7.  Efficacy of the combination of MEK and CDK4/6 inhibitors in vitro and in vivo in KRAS mutant colorectal cancer models.

Authors:  Michael S Lee; Timothy L Helms; Ningping Feng; Jason Gay; Qing Edward Chang; Feng Tian; Ji Y Wu; Carlo Toniatti; Timothy P Heffernan; Garth Powis; Lawrence N Kwong; Scott Kopetz
Journal:  Oncotarget       Date:  2016-06-28

8.  Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death.

Authors:  Haley Hieronymus; Rajmohan Murali; Amy Tin; Kamlesh Yadav; Wassim Abida; Henrik Moller; Daniel Berney; Howard Scher; Brett Carver; Peter Scardino; Nikolaus Schultz; Barry Taylor; Andrew Vickers; Jack Cuzick; Charles L Sawyers
Journal:  Elife       Date:  2018-09-04       Impact factor: 8.140

9.  Next-generation sequencing of RNA and DNA isolated from paired fresh-frozen and formalin-fixed paraffin-embedded samples of human cancer and normal tissue.

Authors:  Jakob Hedegaard; Kasper Thorsen; Mette Katrine Lund; Anne-Mette K Hein; Stephen Jacques Hamilton-Dutoit; Søren Vang; Iver Nordentoft; Karin Birkenkamp-Demtröder; Mogens Kruhøffer; Henrik Hager; Bjarne Knudsen; Claus Lindbjerg Andersen; Karina Dalsgaard Sørensen; Jakob Skou Pedersen; Torben Falck Ørntoft; Lars Dyrskjøt
Journal:  PLoS One       Date:  2014-05-30       Impact factor: 3.240

10.  OlympiAD final overall survival and tolerability results: Olaparib versus chemotherapy treatment of physician's choice in patients with a germline BRCA mutation and HER2-negative metastatic breast cancer.

Authors:  M E Robson; N Tung; P Conte; S-A Im; E Senkus; B Xu; N Masuda; S Delaloge; W Li; A Armstrong; W Wu; C Goessl; S Runswick; S M Domchek
Journal:  Ann Oncol       Date:  2019-04-01       Impact factor: 32.976

View more
  1 in total

Review 1.  The Signal Transducer IL6ST (gp130) as a Predictive and Prognostic Biomarker in Breast Cancer.

Authors:  Carlos Martínez-Pérez; Jess Leung; Charlene Kay; James Meehan; Mark Gray; J Michael Dixon; Arran K Turnbull
Journal:  J Pers Med       Date:  2021-06-29
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.