Literature DB >> 32621752

miR-181a overexpression predicts the poor treatment response and early-progression of serous ovarian cancer patients.

Konstantina Panoutsopoulou1, Margaritis Avgeris1, Paraskevi Magkou1, Konstantinos Mavridis1, Tobias Dreyer2, Julia Dorn2, Eva Obermayr3, Alexander Reinthaller3, Kleita Michaelidou1, Sven Mahner4,5, Ignace Vergote6, Liselore Loverix6, Ioana Braicu7, Jalid Sehouli7, Robert Zeillinger3, Viktor Magdolen2, Andreas Scorilas1.   

Abstract

Ovarian cancer (OC) remains a leading cause of gynecological cancer-related death worldwide, characterized by poor 5-year survival. Molecular markers could serve as crucial tools of personalized prognosis and therapy. Herein, we present miR-181a as novel predictor of OC prognosis, using five independent OC cohorts. In particular, a screening (n = 81) and an institutionally independent validation (n = 100, OVCAD multicenter study) serous OC (SOC) cohorts were analyzed. Bagnoli et al (2016) OC179 (n = 124) to OC133 (n = 100) and TCGA (n = 489) served as external validation cohorts. Patients' survival and disease progression were assessed as clinical endpoint events. Bootstrap analysis was performed for internal validation and decision curve analysis was utilized to evaluate clinical benefit. miR-181a overexpression was unveiled as powerful and independent molecular predictor of patients' poor survival and higher risk for disease progression after debulking surgery and platinum-based chemotherapy. Analysis of the OVCAD institutionally independent cohort, as well as of Bagnoli et al. and TCGA external cohorts further confirmed the unfavorable prognostic nature of miR-181a overexpression in SOC. Strikingly, multivariate prognostic models incorporating miR-181a with established disease markers clearly improved patients' risk-stratification and offered superior clinical benefit in OC prognostication. Conclusively, miR-181a evaluation could augment prognostic accuracy and support precision medicine decisions in OC.
© 2020 UICC.

Entities:  

Keywords:  epithelial ovarian cancer; microRNA-181a; molecular diagnostics; noncoding RNA; ovarian tumors

Mesh:

Substances:

Year:  2020        PMID: 32621752     DOI: 10.1002/ijc.33182

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  4 in total

1.  miRNA-seq and clinical evaluation in multiple myeloma: miR-181a overexpression predicts short-term disease progression and poor post-treatment outcome.

Authors:  Maria-Alexandra Papadimitriou; Aristea-Maria Papanota; Panagiotis G Adamopoulos; Katerina-Marina Pilala; Christine-Ivy Liacos; Panagiotis Malandrakis; Nefeli Mavrianou-Koutsoukou; Dimitrios Patseas; Evangelos Eleutherakis-Papaiakovou; Maria Gavriatopoulou; Efstathios Kastritis; Margaritis Avgeris; Meletios-Athanasios Dimopoulos; Evangelos Terpos; Andreas Scorilas
Journal:  Br J Cancer       Date:  2021-10-30       Impact factor: 7.640

2.  tRNAGlyGCC-Derived Internal Fragment (i-tRF-GlyGCC) in Ovarian Cancer Treatment Outcome and Progression.

Authors:  Konstantina Panoutsopoulou; Tobias Dreyer; Julia Dorn; Eva Obermayr; Sven Mahner; Toon van Gorp; Ioana Braicu; Robert Zeillinger; Viktor Magdolen; Margaritis Avgeris; Andreas Scorilas
Journal:  Cancers (Basel)       Date:  2021-12-22       Impact factor: 6.639

Review 3.  The long and short non-coding RNAs modulating EZH2 signaling in cancer.

Authors:  Sepideh Mirzaei; Mohammad Hossein Gholami; Kiavash Hushmandi; Farid Hashemi; Amirhossein Zabolian; Israel Canadas; Ali Zarrabi; Noushin Nabavi; Amir Reza Aref; Francesco Crea; Yuzhuo Wang; Milad Ashrafizadeh; Alan Prem Kumar
Journal:  J Hematol Oncol       Date:  2022-03-02       Impact factor: 17.388

Review 4.  Recent advances of non-coding RNAs in ovarian cancer prognosis and therapeutics.

Authors:  Mengyu Chen; Ningjing Lei; Wanjia Tian; Yong Li; Lei Chang
Journal:  Ther Adv Med Oncol       Date:  2022-08-12       Impact factor: 5.485

  4 in total

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