scholarly journals Integrative analysis of mRNA and miRNA expression profiles reveals seven potential diagnostic biomarkers for non‑small cell lung cancer

2019 ◽  
Author(s):  
Jie Zhang ◽  
Dong Li ◽  
Yueming Zhang ◽  
Zongli Ding ◽  
Yulong Zheng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Small Cell ◽  
Integrative Analysis ◽  
Small Cell Lung ◽  
Diagnostic Biomarkers ◽  
Mirna Expression Profiles

scholarly journals Integrative analysis of microRNA and mRNA expression profiles in non-small-cell lung cancer

2016 ◽  
Vol 23 (4) ◽  
pp. 90-97 ◽  
Author(s):  
C Yang ◽  
C Sun ◽  
X Liang ◽  
S Xie ◽  
J Huang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Mrna Expression ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Integrative Analysis ◽  
Small Cell Lung

Tumor-associated exosomal miRNA biomarkers to differentiate metastatic vs. nonmetastatic non-small cell lung cancer

2020 ◽  
Vol 58 (9) ◽  
pp. 1535-1545 ◽  
Author(s):  
Ning Wang ◽  
Wei Guo ◽  
Xingguo Song ◽  
Lisheng Liu ◽  
Limin Niu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Potential Candidate ◽  
Small Cell Lung ◽  
Diagnostic Biomarkers ◽  
Metastatic Nsclc ◽  
Nsclc Patients

AbstractBackgroundExosomal microRNAs (miRNAs) are proposed to be excellent candidate biomarkers for clinical applications. However, little is known about their potential value as diagnostic biomarkers for metastatic non-small cell lung cancer (NSCLC).MethodsIn this study, microarrays were used to determine distinct miRNA profiles of plasma exosomes in a discovery cohort of healthy donors, metastatic NSCLC and nonmetastatic NSCLC patients. Three potential candidate miRNAs were selected based on the differential expression profiles. The discovery set data were validated by quantitative real-time polymerase chain reaction using a validation cohort.ResultsNSCLC patients (n = 80) and healthy controls (n = 30) had different exosome-related miRNA profiles in plasma. Results demonstrated that the level of let-7f-5p was decreased in plasma exosomes of NSCLC patients (p < 0.0001). Further analysis of three differentially expressed miRNAs revealed that miR-320a, miR-622 and let-7f-5p levels could significantly segregate patients with metastatic NSCLC from patients with nonmetastatic NSCLC (p < 0.0001, p < 0.0001 and p = 0.023, respectively). In addition, the combination of let-7f-5p, CEA and Cyfra21-1 generated an area under the curve (AUC) of 0.981 for the diagnosis of NSCLC patients, and the combination of miR-320a, miR-622, CEA and Cyfra21-1 had an AUC of 0.900 for the diagnosis of patients with metastatic NSCLC.ConclusionsThis novel study demonstrated that plasma exosomal miRNAs are promising noninvasive diagnostic biomarkers for metastatic NSCLC.

scholarly journals Identification of Prognostic and Chemopredictive microRNAs for Non-Small-Cell Lung Cancer by Integrating SEER-Medicare Data

2021 ◽  
Vol 22 (14) ◽  
pp. 7658
Author(s):  
Qing Ye ◽  
Joseph Putila ◽  
Rebecca Raese ◽  
Chunlin Dong ◽  
Yong Qian ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Tumor Progression ◽  
Mirna Expression ◽  
Expression Profiles ◽  
Nsclc Patient ◽  
Small Cell ◽  
Small Cell Lung ◽  
Medicare Data ◽  
Mirna Expression Profiles

This study developed a novel methodology to correlate genome-scale microRNA (miRNA) expression profiles in a lung squamous cell carcinoma (LUSC) cohort (n = 57) with Surveillance, Epidemiology, and End Results (SEER)-Medicare LUSC patients (n = 33,897) as a function of composite tumor progression indicators of T, N, and M cancer stage and tumor grade. The selected prognostic and chemopredictive miRNAs were extensively validated with miRNA expression profiles of non-small-cell lung cancer (NSCLC) patient samples collected from US hospitals (n = 156) and public consortia including NCI-60, The Cancer Genome Atlas (TCGA; n = 1016), and Cancer Cell Line Encyclopedia (CCLE; n = 117). Hsa-miR-142-3p was associated with good prognosis and chemosensitivity in all the studied datasets. Hsa-miRNA-142-3p target genes (NUP205, RAN, CSE1L, SNRPD1, RPS11, SF3B1, COPA, ARCN1, and SNRNP200) had a significant impact on proliferation in 100% of the tested NSCLC cell lines in CRISPR-Cas9 (n = 78) and RNA interference (RNAi) screening (n = 92). Hsa-miR-142-3p-mediated pathways and functional networks in NSCLC short-term survivors were elucidated. Overall, the approach integrating SEER-Medicare data with comprehensive external validation can identify miRNAs with consistent expression patterns in tumor progression, with potential implications for prognosis and prediction of chemoresponse in large NSCLC patient populations.

scholarly journals Circulating serum exosomal miR-20b-5p and miR-3187-5p as efficient diagnostic biomarkers for early-stage non-small cell lung cancer

2020 ◽  
Vol 245 (16) ◽  
pp. 1428-1436
Author(s):  
Zhi-Jun Zhang ◽  
Xing-Guo Song ◽  
Li Xie ◽  
Kang-Yu Wang ◽  
You-Yong Tang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Early Stage ◽  
Small Cell ◽  
Small Cell Lung ◽  
Diagnostic Biomarkers ◽  
Non Invasive ◽  
Early Stage Nsclc ◽  
Nsclc Patients

Circulating exosomal microRNAs (ExmiRNAs) provide an ideal non-invasive method for cancer diagnosis. In this study, we evaluated two circulating ExmiRNAs in NSCLC patients as a diagnostic tool for early-stage non-small lung cancer (NSCLC). The exosomes were characterized by qNano, transmission electron microscopy, and Western blot, and the ExmiRNA expression was measured by microarrays. The differentially expressed miRNAs were verified by RT-qPCR using peripheral blood specimens from NSCLC patients ( n = 276, 0 and I stage: n = 104) and healthy donors ( n = 282). The diagnostic values were measured by receiver operating characteristic (ROC) analysis. The results show that the expression of both ExmiR-20b-5p and ExmiR-3187-5p was drastically reduced in NSCLC patients. The area under the ROC curve (AUC) was determined to be 0.818 and 0.690 for ExmiR-20b-5p and ExmiR-3187-5p, respectively. When these two ExmiRNAs were combined, the AUC increased to 0.848. When the ExmiRNAs were administered with either carcinoembryonic antigen (CEA) or cytokeratin-19-fragment (CYFRA21-1), the AUC was further improved to 0.905 and 0.894, respectively. Additionally, both ExmiR-20b-5p and ExmiR-3187-5p could be used to distinguish early stages NSCLC (0 and I stage) from the healthy controls. The ROC curves showed that the AUCs were 0.810 and 0.673, respectively. Combination of ExmiR-20b-5p and ExmiR-3187-5p enhanced the AUC to 0.838. When CEA and CYFRA21-1 were administered with the ExmiRNAs, the AUCs were improved to 0.930 and 0.928, respectively. In summary, circulating serum exosomal miR-20b-5p and miR-3187-5p could be used as effective, non-invasive biomarkers for the diagnosis of early-stage NSCLC, and the effects were further improved when the ExmiRNAs were combined. Impact statement The high mortality of non-small cell lung cancer (NSCLC) is mainly because the cancer has progressed to a more advanced stage before diagnosis. If NSCLC can be diagnosed at early stages, especially stage 0 or I, the overall survival rate will be largely improved by definitive treatment such as lobectomy. We herein validated two novel circulating serum ExmiRs as diagnostic biomarkers for early-stage NSCLC to fulfill the unmet medical need. Considering the number of specimens in this study, circulating serum exosomal miR-20b-5p and miR-3187-5p are putative NSCLC biomarkers, which need to be further investigated in a larger randomized controlled clinical trial.

P-652 Protein expression profiles in non-small cell lung cancer. A tissue microarray-based study of 142 cases

Lung Cancer ◽  
2005 ◽  
Vol 49 ◽  
pp. S290 ◽  
Author(s):  
E. Conde ◽  
R. García Luján ◽  
A. López Encuentra ◽  
L. Sánchez ◽  
M. Sánchez-Céspedes ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Tissue Microarray ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Small Cell Lung ◽  
Protein Expression Profiles

scholarly journals Expression Profiles of microRNAs in Drug-Resistant Non-Small Cell Lung Cancer Cell Lines Using microRNA Sequencing

2018 ◽  
Vol 51 (6) ◽  
pp. 2509-2522 ◽  
Author(s):  
Shousen Hu ◽  
Yongliang Yuan ◽  
Zhizhen Song ◽  
Dan Yan ◽  
Xiangzhen Kong
Keyword(s):  
Lung Cancer ◽  
Drug Resistance ◽  
Small Cell Lung Cancer ◽  
Cell Lines ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Nsclc Cell ◽  
Drug Resistant ◽  
Small Cell Lung

Background/Aims: Drug resistance remains a main obstacle to the treatment of non- small cell lung cancer (NSCLC). The aim of this study was to identify the expression profiles of microRNAs (miRNAs) in drug-resistant NSCLC cell lines. Methods: The expression profiles of miRNAs in drug-resistant NSCLC cell lines were examined using miRNA sequencing, and the common dysregulated miRNAs in these cell lines were identified and analyzed by bioinformatics methods. Results: A total of 29 upregulated miRNAs and 36 downregulated miRNAs were found in the drug-resistant NSCLC cell lines, of which 26 upregulated and 36 downregulated miRNAs were found to be involved in the Ras signaling pathway. The expression levels, survival analysis, and receiver operating characteristic curve of the dysregulated miRNAs based on The Cancer Genome Atlas database for lung adenocarcinoma showed that hsa-mir-192, hsa-mir-1293, hsa-mir-194, hsa-mir-561, hsa-mir-205, hsa-mir-30a, and hsa-mir-30c were related to lung cancer, whereas only hsa-mir-1293 and hsa-mir-561 were not involved in drug resistance. Conclusion: The results of this study may provide novel biomarkers for drug resistance in NSCLC and potential therapies for overcoming drug resistance, and may also reveal the potential mechanisms underlying drug resistance in this disease.

scholarly journals A Novel Composite Biomarker Panel For Detection Of Early Stage Non-small Cell Lung Cancer

2021 ◽  
Vol 44 (1) ◽  
pp. E15-24
Author(s):  
Eric L.R. Bédard ◽  
Aswin G. Abraham ◽  
Anil A. Joy ◽  
Sunita Ghosh ◽  
Xiaoyu Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Mirna Expression ◽  
Roc Analysis ◽  
Early Stage ◽  
Small Cell ◽  
Proton Nuclear Magnetic Resonance ◽  
Small Cell Lung ◽  
Urine Metabolites

Purpose: To investigate a novel composite methodology of using targeted serum microRNAs (micro ribonucleic acid; miRNA) and urine metabolites for the accurate detection of early stage non-small cell lung cancer (NSCLC). Methods: Consecutively consenting NSCLC patients and matched control subjects were recruited to provide samples of serum for miRNA and/or urine for metabolite analyses. Serum miRNA levels were measured using quantitative real-time reverse-transcription with exogenous control, and the comparative delta cycle threshold (&#9651CT) method was used to calculate relative miRNA expression of two targeted miRNAs (miR-21 and miR-223). The concentrations of six targeted urinary metabolites in patients and healthy controls were measured using proton nuclear magnetic resonance (1H NMR) spectroscopy. A composite methodology of using the 35 accruals with both serum and urine biomarkers was then established with binary logistic regression, receiver operating characteristic (ROC) models with or without artificial intelligence (AI). Results: The ROC analysis of miRNA expression yielded a sensitivity of 96.4% and a specificity of 88.2% for the detection of early stage NSCLC, with area under the curve (AUC) = 0.91 (CI 95%: 0.80-1.0). Relative urinary concentrations of 4-methoxyphenylacetic acid (4MPLA) were significantly different between NSCLC and healthy control (p=0.008). The ROC analysis of 4MPLA yielded a sensitivity of 82.1% and a specificity of 88.2%, with AUC = 0.85. The composite process combining miRNA and metabolite expression demonstrated a sensitivity and specificity of nearly 100% and AUC=1. Conclusions: A highly specific, sensitive and non-invasive detection method for NSCLC was developed. Pending validation, this can potentially improve the early detection and, hence, the treatment and survival outcomes of patients.

scholarly journals Identification of LOC338963 and AP3B2 as Potential Biomarkers for Lambert-Eaton Myasthenic Syndrome

2021 ◽  
Author(s):  
Fei Yang ◽  
Feng Jing ◽  
Yang Li ◽  
Shanshan Kong ◽  
Shimin Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Differentially Expressed ◽  
Healthy Controls ◽  
Small Cell Lung ◽  
Qrt Pcr ◽  
Myasthenic Syndrome

Abstract Background: Lambert-Eaton myasthenic syndrome (LEMS) is a rare neuromuscular junction disorder associated with muscle weakness and small-cell lung cancer. Here, we used microarray analysis to identify long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) that might serve as biomarkers for LEMS.Methods: Plasma lncRNA and mRNA expression profiles of three patients with paraneoplastic LEMS and three healthy controls were analyzed using Arraystar Human lncRNA Microarray v4.0. Differentially expressed lncRNAs and adjacent mRNAs were analyzed jointly, and candidates were verified in individual samples by quantitative real-time polymerase chain reaction (qRT-PCR). The identified lncRNAs and mRNAs were evaluated in nine patients with paraneoplastic LEMS, eight patients with non-tumor LEMS, and four patients with small cell lung cancer (SCLC). Results: A total of 320 lncRNAs were differentially expressed in patients with paraneoplastic LEMS compared to healthy controls (fold change >1.5, P < 0.05), and nine were further evaluated. One of the identified lncRNAS, LOC338963 (NR_031439), is known to regulated the expression of the mRNA AP3B2, and both were upregulated more than 2-fold in patients with paraneoplastic LEMS compared to healthy controls. Furthermore, qRT-PCR analysis revealed significant upregulation of LOC338963 (NR_031439) and AP3B2 expression in patients with paraneoplastic LEMS compared to those with either non-tumor LEMS (2.37- and 5.06-fold, respectively) or SCLC (4.36- and 14.97-fold, respectively).Conclusions: Plasma LOC338963 (NR_031439) and AP3B2 were found to be upregulated in LEMS and might be used as diagnostic biomarkers for this disease.

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