Literature DB >> 30536412

A three microRNA-based prognostic signature for small cell lung cancer overall survival.

Hao Yan1, Shaobin Xin2, Jing Ma3, Hui Wang1, Heng Zhang1, Jindong Liu1.   

Abstract

BACKGROUND: Small-cell lung cancer (SCLC) is one of the most aggressive cancers with mechanisms far from understood.
OBJECTIVE: We proposed to identify valuable prognostic signature for SCLC prognosis prediction.
METHODS: microRNA (miRNA) expression profiles of 42 SCLC patients were acquired from the Gene Expression Omnibus. miRNAs that significantly associated with SCLC overall survival (OS-relevant) were identified through univariate Cox regression analysis followed by random survival forest analysis for identification of more reliable miRNA signature.
RESULTS: Eleven OS-relevant miRNAs were obtained, and hsa-miR-194, hsa-miR-608, and hsa-miR-9 were further refined through RFS. A formula composed of the three miRNAs' expression values weighted by their multivariate Cox regression coefficients was constructed, and based on which, SCLC patients with longer OS could be well distinguished from those with shorter OS.
CONCLUSIONS: This study should provide a valuable clue for SCLC prognosis evaluation.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  microRNA; overall survival; random survival forest; small-cell lung cancer

Year:  2018        PMID: 30536412     DOI: 10.1002/jcb.28159

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  6 in total

1.  A novel analytical framework for risk stratification of real-world data using machine learning: A small cell lung cancer study.

Authors:  Luca Marzano; Adam S Darwich; Salomon Tendler; Asaf Dan; Rolf Lewensohn; Luigi De Petris; Jayanth Raghothama; Sebastiaan Meijer
Journal:  Clin Transl Sci       Date:  2022-07-29       Impact factor: 4.438

2.  Competing endogenous RNA network identifies mRNA biomarkers for overall survival of lung adenocarcinoma: two novel on-line precision medicine predictive tools.

Authors:  Jinsong Lin; Shubiao Lu; Zhijian Jiang; Chongjing Hu; Zhiqiao Zhang
Journal:  PeerJ       Date:  2021-05-07       Impact factor: 2.984

Review 3.  Biological Functions and Molecular Mechanisms of MiR-608 in Cancer.

Authors:  Juan Lu; Danhua Zhu; Lanjuan Li
Journal:  Front Oncol       Date:  2022-03-21       Impact factor: 6.244

Review 4.  MiRNAs in Lung Cancer: Diagnostic, Prognostic, and Therapeutic Potential.

Authors:  Javaid Ahmad Wani; Sabhiya Majid; Zuha Imtiyaz; Muneeb U Rehman; Rana M Alsaffar; Naveed Nazir Shah; Sultan Alshehri; Mohammed M Ghoneim; Syed Sarim Imam
Journal:  Diagnostics (Basel)       Date:  2022-07-01

5.  miR-9 Does Not Regulate Lamin A Expression in Metastatic Cells from Lung Adenocarcinoma.

Authors:  Julien Guinde; Audrey Benoit; Diane Frankel; Stéphane Robert; Kevin Ostacolo; Nicolas Lévy; Philippe Astoul; Patrice Roll; Elise Kaspi
Journal:  Int J Mol Sci       Date:  2020-02-26       Impact factor: 5.923

6.  Identification of a Novel Epithelial-Mesenchymal Transition Gene Signature Predicting Survival in Patients With HNSCC.

Authors:  Wei Xin; Chaoran Zhao; Longyang Jiang; Dongmei Pei; Lin Zhao; Chengpu Zhang
Journal:  Pathol Oncol Res       Date:  2021-03-29       Impact factor: 3.201

  6 in total

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