Literature DB >> 24007627

Identification of microRNA-based signatures for response and survival for non-small cell lung cancer treated with cisplatin-vinorelbine A ELCWP prospective study.

T Berghmans1, L Ameye, L Willems, M Paesmans, C Mascaux, J J Lafitte, A P Meert, A Scherpereel, A B Cortot, I Cstoth, T Dernies, L Toussaint, N Leclercq, J P Sculier.   

Abstract

UNLABELLED: Clinical variables, like stage and performance status (PS), have predictive and prognostic values in advanced non-small cell lung cancer (NSCLC) patients treated with chemotherapy, not allowing adequate individual prediction. MicroRNA (miRNA) are non-coding RNAs regulating gene expression. In a prospective study, we assessed the predictive value for response and survival of tumour miRNA in NSCLC patients treated by 1st line cisplatin and vinorelbine. miRNA expression was analysed on a biopsy obtained during the diagnostic bronchoscopy, using TaqMan Low Density Arrays. The signature for response was derived using logistic regression with stepwise variable selection. The associations between overall survival and miRNA expression levels were estimated by using the Kaplan-Meier method, log-rank test, and Cox proportional hazard regression models to estimate the hazard ratios. In total, 38 patients with adequate tumour biopsies, treated with cisplatin-vinorelbine were included: male (n = 27), 80-100 Karnofsky PS (n = 27), adenocarcinoma (n = 20), stage IV (n = 30). One patient was considered not assessable for response but remained included in the survival analyses. Out of the 37 patients assessable for response, 16 partial responses (43%) were observed. A two miRNA signature (miR-149 and miR-375) was found predictive for response and was also associated to progression-free survival (p = 0.05). Using a linear combination of the miR CT values with Cox's regression coefficients as weights, we constructed a prognostic score for overall survival including four miRNA (miR-200c, miR-424, miR-29c and miR-124). The signature distinguished patients with good (n = 18) and poor (n = 20) prognosis with respective median survival times of 47.3 months (95% CI 29.8-52.4) and 15.5 months (95% CI 9.1-22.8) (p < 0.001; hazard ratio 21.1, 95% CI 4.7-94.9).
CONCLUSIONS: miRNA signature allows predicting response and is of prognostic value for survival in patients with NSCLC treated with first line cisplatin and vinorelbine.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Chemotherapy; Non small cell lung carcinoma; Prognosis; Response prediction; Survival; microRNA

Mesh:

Substances:

Year:  2013        PMID: 24007627     DOI: 10.1016/j.lungcan.2013.07.020

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  28 in total

1.  Prognostic role of miR-200c in various malignancies: a systematic review and meta-analysis.

Authors:  Ke-Cheng Zhang; Hong-Qing Xi; Jian-Xin Cui; Wei-Song Shen; Ji-Yang Li; Bo Wei; Lin Chen
Journal:  Int J Clin Exp Med       Date:  2015-02-15

2.  A three-microRNA signature predicts responses to platinum-based doublet chemotherapy in patients with lung adenocarcinoma.

Authors:  Motonobu Saito; Kouya Shiraishi; Kenji Matsumoto; Aaron J Schetter; Hiroko Ogata-Kawata; Naoto Tsuchiya; Hideo Kunitoh; Hiroshi Nokihara; Shun-Ichi Watanabe; Koji Tsuta; Kensuke Kumamoto; Seiichi Takenoshita; Jun Yokota; Curtis C Harris; Takashi Kohno
Journal:  Clin Cancer Res       Date:  2014-08-20       Impact factor: 12.531

Review 3.  Exploring clinical implications and role of non-coding RNAs in lung carcinogenesis.

Authors:  Swagata Roy; Neeldeep Ganguly; Satarupa Banerjee
Journal:  Mol Biol Rep       Date:  2022-01-25       Impact factor: 2.742

4.  Predictive relevance of miR-34a, miR-224 and miR-342 in patients with advanced squamous cell carcinoma of the lung undergoing palliative chemotherapy.

Authors:  Vlastimil Kulda; Martin Svaton; Petr Mukensnabl; Kristyna Hrda; Pavel Dvorak; Zbynek Houdek; Katerina Houfkova; Radana Vrzakova; Vaclav Babuska; Milos Pesek; Martin Pesta
Journal:  Oncol Lett       Date:  2017-11-02       Impact factor: 2.967

5.  MicroRNA-124 suppresses tumor cell proliferation and invasion by targeting CD164 signaling pathway in non-small cell lung cancer.

Authors:  Jing Lin; Kai Xu; Jun Wei; Amy B Heimberger; Jack A Roth; Lin Ji
Journal:  J Gene Ther       Date:  2016-02-13

Review 6.  miRNAs as biomarkers and for the early detection of non-small cell lung cancer (NSCLC).

Authors:  Yichao Han; Hecheng Li
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

Review 7.  Regulation and functions of MicroRNA-149 in human cancers.

Authors:  Yingru Zhi; Hao Zhou; Abudoureyimu Mubalake; Ying Chen; Bei Zhang; Kai Zhang; Xiaoyuan Chu; Rui Wang
Journal:  Cell Prolif       Date:  2018-07-12       Impact factor: 6.831

8.  Quantification of plasma microRNAs in a group of healthy smokers, ex-smokers and non-smokers and correlation to biomarkers of tobacco exposure.

Authors:  Anisha Banerjee; David Waters; Oscar M Camacho; Emmanuel Minet
Journal:  Biomarkers       Date:  2015-01-19       Impact factor: 2.658

9.  Systematic identification of clinically relevant miRNAs for potential miRNA-based therapy in lung adenocarcinoma.

Authors:  Shu-Hsuan Liu; Kai-Wen Hsu; Yo-Liang Lai; Yu-Feng Lin; Fang-Hsin Chen; Pei-Hwa Peng; Li-Jie Lin; Heng-Hsiung Wu; Chia-Yang Li; Shu-Chi Wang; Min-Zu Wu; Yuh-Pyng Sher; Wei-Chung Cheng
Journal:  Mol Ther Nucleic Acids       Date:  2021-05-01       Impact factor: 8.886

Review 10.  Systems biology approaches to develop innovative strategies for lung cancer therapy.

Authors:  K Viktorsson; R Lewensohn; B Zhivotovsky
Journal:  Cell Death Dis       Date:  2014-05-29       Impact factor: 8.469

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.