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MicroRNA-374a Expression as a Prognostic Biomarker in Lung Adenocarcinoma
Yeseul Kim, Jongmin Sim, Hyunsung Kim, Seong Sik Bang, Seungyun Jee, Sungeon Park, Kiseok Jang
J Pathol Transl Med. 2019;53(6):354-360.   Published online October 24, 2019
DOI: https://doi.org/10.4132/jptm.2019.10.01
  • 4,854 View
  • 129 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDF
Background
Lung cancer is the most common cause of cancer-related death, and adenocarcinoma is the most common histologic subtype. MicroRNA is a small non-coding RNA that inhibits multiple target gene expression at the post-transcriptional level and is commonly dysregulated in malignant tumors. The purpose of this study was to analyze the expression of microRNA-374a (miR-374a) in lung adenocarcinoma and correlate its expression with various clinicopathological characteristics.
Methods
The expression level of miR-374a was measured in 111 formalin-fixed paraffin-embedded lung adenocarcinoma tissues using reverse transcription-quantitative polymerase chain reaction assays. The correlation between miR-374a expression and clinicopathological parameters, including clinical outcome, was further analyzed.
Results
High miR-374 expression was correlated with advanced pT category (chi-square test, p=.004) and pleural invasion (chi-square test, p=.034). Survival analysis revealed that patients with high miR-374a expression had significantly shorter disease-free survival relative to those with low miR-374a expression (log-rank test, p=.032).
Conclusions
miR-374a expression may serve as a potential prognostic biomarker for predicting recurrence in early stage lung adenocarcinoma after curative surgery.

Citations

Citations to this article as recorded by  
  • Upregulated miR-374a-5p drives psoriasis pathogenesis through WIF1 downregulation and Wnt5a/NF-κB activation
    Jing Ma, Lu Gan, Hongying Chen, Lihao Chen, Yu Hu, Chao Luan, Kun Chen, Jiaan Zhang
    Cellular Signalling.2024; 119: 111171.     CrossRef
  • Cell-free plasma miRNAs analysis for low invasive lung cancer diagnostics
    M. Yu. Konoshenko, P. P. Laktionov, Yu. A. Lancuhaj, S. V. Pak, S. E. Krasilnikov, O. E. Bryzgunova
    Advances in Molecular Oncology.2023; 10(2): 78.     CrossRef
  • MicroRNA‑mediated regulation in lung adenocarcinoma: Signaling pathways and potential therapeutic implications (Review)
    Jiye Liu, Fei Zhang, Jiahe Wang, Yibing Wang
    Oncology Reports.2023;[Epub]     CrossRef
  • Dysregulation of miR-374a is involved in the progression of diabetic retinopathy and regulates the proliferation and migration of retinal microvascular endothelial cells
    Zhanhong Wang, Xiao Zhang, Yanjun Wang, Dailing Xiao
    Clinical and Experimental Optometry.2022; 105(3): 287.     CrossRef
  • MicroRNA Profile for Diagnostic and Prognostic Biomarkers in Thyroid Cancer
    Jong-Lyul Park, Seon-Kyu Kim, Sora Jeon, Chan-Kwon Jung, Yong-Sung Kim
    Cancers.2021; 13(4): 632.     CrossRef
Differential MicroRNA Expression between EGFR T790M and L858R Mutated Lung Cancer
Ji Yeon Kim, Woo Jeong Lee, Ha Young Park, Ahrong Kim, Dong Hoon Shin, Chang Hun Lee
J Pathol Transl Med. 2018;52(5):275-282.   Published online August 16, 2018
DOI: https://doi.org/10.4132/jptm.2018.07.29
  • 6,114 View
  • 125 Download
  • 6 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary Material
Background
MicroRNAs (miRNAs) are short, non-coding RNAs that mediate post-transcriptional gene regulation. They are commonly deregulated in human malignancies, including non-small cell lung cancer (NSCLC). The aim of this study is to investigate miRNA expression in T790M-mutated NSCLC resistant to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors.
Methods
Six cases of resected NSCLC harboring the T790M mutation were examined. We performed miRNA time polymerase chain reaction (PCR) array profiling using EGFR T790M-mutated NSCLC and L858R-mutated NSCLC. Once identified, miRNAs that were differentially expressed between the two groups were validated by quantitative real-time polymerase chain reaction (qRT-PCR).
Results
miRNA PCR array profiling revealed three up-regulated miRNAs whose expression levels were altered 4.0-fold or more in the EGFR T790M mutation group than in the L858R group: miR-1 (fold change, 4.384), miR-196a (fold change, 4.138), and miR-124 (fold change, 4.132). The three differentially expressed miRNAs were validated by qRT-PCR, and they were found to be overexpressed in the T790M group relative to L858R group. In particular, expression levels of miR-1 and miR-124 were significantly higher in the T790M group (p-value of miR-1 = .004, miR-124 = .007, miR-196a = .096).
Conclusions
MiR-1, miR-124, and miR-196a are overexpressed in EGFR T790M mutated NSCLC.

Citations

Citations to this article as recorded by  
  • Whole exome sequencing and MicroRNA profiling of lung adenocarcinoma identified risk prediction features for tumors at stage I and its substages
    Hao Ho, Sung-Liang Yu, Hsuan-Yu Chen, Shin-Sheng Yuan, Kang-Yi Su, Yi-Chiung Hsu, Chung-Ping Hsu, Cheng-Yen Chuang, Ya-Hsuan Chang, Yu-Cheng Li, Chiou-Ling Cheng, Gee-Chen Chang, Pan-Chyr Yang, Ker-Chau Li
    Lung Cancer.2023; 184: 107352.     CrossRef
  • Dynamic Evaluation of Circulating miRNA Profile in EGFR-Mutated NSCLC Patients Treated with EGFR-TKIs
    Alessandro Leonetti, Mjriam Capula, Roberta Minari, Giulia Mazzaschi, Alessandro Gregori, Btissame El Hassouni, Filippo Papini, Paola Bordi, Michela Verzè, Amir Avan, Marcello Tiseo, Elisa Giovannetti
    Cells.2021; 10(6): 1520.     CrossRef
  • Generation of osimertinib-resistant cells from epidermal growth factor receptor L858R/T790M mutant non-small cell lung carcinoma cell line
    Nalini Devi Verusingam, Yi-Chen Chen, Heng-Fu Lin, Chao-Yu Liu, Ming-Cheng Lee, Kai-Hsi Lu, Soon-Keng Cheong, Alan Han-Kiat Ong, Shih-Hwa Chiou, Mong-Lien Wang
    Journal of the Chinese Medical Association.2021; 84(3): 248.     CrossRef
  • Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands
    Sarah Sayed Hassanein, Sherif Abdelaziz Ibrahim, Ahmed Lotfy Abdel-Mawgood
    International Journal of Molecular Sciences.2021; 22(22): 12496.     CrossRef
  • The Roles of MicroRNA in Lung Cancer
    Kuan-Li Wu, Ying-Ming Tsai, Chi-Tun Lien, Po-Lin Kuo, Jen-Yu Hung
    International Journal of Molecular Sciences.2019; 20(7): 1611.     CrossRef
The Significance of MicroRNA Let-7b, miR-30c, and miR-200c Expression in Breast Cancers.
Sung Min Chun, Hee Jung Park, Chul Hwan Kim, Insun Kim
Korean J Pathol. 2011;45(4):354-360.
DOI: https://doi.org/10.4132/KoreanJPathol.2011.45.4.354
  • 3,308 View
  • 49 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
MicroRNA (miRNA) is a class of noncoding protein RNA as a promising biomarker for various diseases. In this study, the expression of let-7b, miR-30c, and miR-200c was studied in breast cancer tissues to evaluate the potential relationship with known clinicopathological parameters.
METHODS
Quantitative real-time polymerase chain reaction was performed to determine the expression level of three miRNAs in 37 pairs of noncancerous normal and cancer tissues and an additional 38 cancer tissues from patients with invasive ductal carcinoma.
RESULTS
miR-200c expression was higher in cancer tissues compared to noncancerous normal tissues, and its ratio was correlated with patient age at surgery, type of surgery, and Ki-67 expression. The expression level of let-7b in cancer tissues was inversely correlated with lymph node metastasis, histological grade, and Ki-67 expression but positively correlated with estrogen and progesterone receptor expression. miR-200c expression level was positively correlated with Her-2 expression. The miR-30c expression level in breast cancer was not correlated with any parameters.
CONCLUSIONS
miR-200c and let-7b could be used as biomarkers in patients with breast cancer, but its pathological mechanism should be determined.

Citations

Citations to this article as recorded by  
  • High DRC Levels Are Associated with Let-7b Overexpression in Women with Breast Cancer
    Jarline Encarnación, Carmen Ortiz, Ralphdy Vergne, Wanda Vargas, Domenico Coppola, Jaime Matta
    International Journal of Molecular Sciences.2016; 17(6): 865.     CrossRef

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