Literature DB >> 35727379

miRNAs as therapeutic predictors and prognostic biomarkers of neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.

Zhuo Zhang1, Hanxu Zhang1,2, Jiao Yu3, Ling Xu4, Xiaocong Pang1, Qian Xiang1, Qianxin Liu1, Yimin Cui5,6,7.   

Abstract

PURPOSE: Accumulating evidence has shown that microRNAs (miRNAs) are promising biomarkers of neoadjuvant chemotherapy (NAC) response in breast cancer (BC). However, their predictive roles remain controversial. Thus, this systematic review and meta-analysis aimed to describe the role of miRNA expression in NAC response and prognosis in BC to increase statistical power and improve translation.
METHODS: A systematic review of electronic databases for relevant studies was conducted following PRISMA guidelines. Data were extracted, collated, and combined by odds ratio (OR) and hazard ratio (HR) with 95% confidence intervals (CIs) to estimate the strength of the associations.
RESULTS: Of the 560 articles screened, 59 studies were included in our systematic review, and 5 studies were included in the subsequent meta-analysis. Sixty of 123 miRNAs were found to be related with NAC response and an elevated baseline miR-7 level in tissues was associated with a higher pathological complete response rate (OR 5.63; 95% CI 2.15-14.79; P = 0.0004). The prognostic value of 39 miRNAs was also studied. Of them, 26 miRNAs were found to be associated with survival. Pooled HRs indicated that patients with increased levels of serum miR-21 from baseline to the end of the second NAC cycle and from baseline to the end of NAC had a worse disease-free survival than those with decreased levels.
CONCLUSION: Our results highlight that a large number of miRNAs have possible associations with NAC response and prognosis in BC patients. Further well-designed studies are needed to elucidate the molecular mechanisms underlying these associations.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Breast cancer; Neoadjuvant chemotherapy; Prognosis; Response; microRNA

Mesh:

Substances:

Year:  2022        PMID: 35727379     DOI: 10.1007/s10549-022-06642-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.624


  76 in total

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Authors:  David P Bartel
Journal:  Cell       Date:  2004-01-23       Impact factor: 41.582

Review 2.  Can pathologic complete response (pCR) be used as a surrogate marker of survival after neoadjuvant therapy for breast cancer?

Authors:  Qian Wang-Lopez; Nassera Chalabi; Catherine Abrial; Nina Radosevic-Robin; Xavier Durando; Marie-Ange Mouret-Reynier; Kheir-Eddine Benmammar; Sharif Kullab; Mohun Bahadoor; Philippe Chollet; Frédérique Penault-Llorca; Jean-Marc Nabholtz
Journal:  Crit Rev Oncol Hematol       Date:  2015-03-04       Impact factor: 6.312

Review 3.  Pathologic complete response as a potential surrogate for the clinical outcome in patients with breast cancer after neoadjuvant therapy: a meta-regression of 29 randomized prospective studies.

Authors:  Alfredo Berruti; Vito Amoroso; Fabio Gallo; Valentina Bertaglia; Edda Simoncini; Rebecca Pedersini; Laura Ferrari; Alberto Bottini; Paolo Bruzzi; Maria Pia Sormani
Journal:  J Clin Oncol       Date:  2014-10-27       Impact factor: 44.544

4.  Neoadjuvant Management of Early Breast Cancer: A Clinical and Investigational Position Statement.

Authors:  Ramon Colomer; Cristina Saura; Pedro Sánchez-Rovira; Tomás Pascual; Isabel T Rubio; Octavio Burgués; Lourdes Marcos; César A Rodríguez; Miguel Martín; Ana Lluch
Journal:  Oncologist       Date:  2019-02-01

5.  Plasma miR-221 as a predictive biomarker for chemoresistance in breast cancer patients who previously received neoadjuvant chemotherapy.

Authors:  Ruihua Zhao; Jiannan Wu; Weijuan Jia; Chang Gong; Fengyan Yu; Zefang Ren; Kai Chen; Jianrong He; Fengxi Su
Journal:  Onkologie       Date:  2011-11-23

6.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Authors:  Hyuna Sung; Jacques Ferlay; Rebecca L Siegel; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  CA Cancer J Clin       Date:  2021-02-04       Impact factor: 508.702

Review 7.  Neoadjuvant chemotherapy in hormone receptor-positive/HER2-negative early breast cancer: When, why and what?

Authors:  Rosalba Torrisi; Emilia Marrazzo; Elisa Agostinetto; Rita De Sanctis; Agnese Losurdo; Giovanna Masci; Corrado Tinterri; Armando Santoro
Journal:  Crit Rev Oncol Hematol       Date:  2021-03-02       Impact factor: 6.312

Review 8.  Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis.

Authors:  Patricia Cortazar; Lijun Zhang; Michael Untch; Keyur Mehta; Joseph P Costantino; Norman Wolmark; Hervé Bonnefoi; David Cameron; Luca Gianni; Pinuccia Valagussa; Sandra M Swain; Tatiana Prowell; Sibylle Loibl; D Lawrence Wickerham; Jan Bogaerts; Jose Baselga; Charles Perou; Gideon Blumenthal; Jens Blohmer; Eleftherios P Mamounas; Jonas Bergh; Vladimir Semiglazov; Robert Justice; Holger Eidtmann; Soonmyung Paik; Martine Piccart; Rajeshwari Sridhara; Peter A Fasching; Leen Slaets; Shenghui Tang; Bernd Gerber; Charles E Geyer; Richard Pazdur; Nina Ditsch; Priya Rastogi; Wolfgang Eiermann; Gunter von Minckwitz
Journal:  Lancet       Date:  2014-02-14       Impact factor: 79.321

Review 9.  Exploring circulating micro-RNA in the neoadjuvant treatment of breast cancer.

Authors:  Máire-Caitlín Casey; Karl J Sweeney; James Andrew Lawrence Brown; Michael J Kerin
Journal:  Int J Cancer       Date:  2016-01-30       Impact factor: 7.396

Review 10.  Clinical Theragnostic Relationship between Drug-Resistance Specific miRNA Expressions, Chemotherapeutic Resistance, and Sensitivity in Breast Cancer: A Systematic Review and Meta-Analysis.

Authors:  Rama Jayaraj; Sankaranarayanan Gomathi Nayagam; Ananya Kar; Shubhangi Sathyakumar; Hina Mohammed; Maria Smiti; Shanthi Sabarimurugan; Chellan Kumarasamy; T Priyadharshini; K M Gothandam; N Ramesh; Ajay Gupta; Siddhartha Baxi; Suja Swamiappan; Sunil Krishnan
Journal:  Cells       Date:  2019-10-14       Impact factor: 6.600

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