Unknown,Transcriptomics,Genomics,Proteomics

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Identification of differentially expressed miRNAs in BM+ vs. BM- lung cancer samples

ABSTRACT: Brain metastasis (BM) can affect up to 25% of non-small cell lung cancer (NSCLC) patients during their lifetime. Efforts to characterize patients that will develop BM have been fairly disappointing. Small non-coding microRNAs (miRNAs) regulate the expression of target mRNAs by repressing their translation or regulating their sequence-specific degradation. miRNAs play a role in regulating a variety of targets and, consequently, multiple pathways, which makes them a powerful tool to be exploited for early detection of disease, risk assessment, and prognosis. In this study, we investigated miRNAs that may serve as biomarkers to differentiate between NSCLC patients with and without BM. miRNA microarray profiling was performed on samples from clinically matched NSCLC from patients with BM (BM+) and without BM (BM-). miR-328 and miR-330-3p were able to correctly classify BM+ vs. BM- patients. Gene expression analysis comparing NSCLC parental and stably transfected miR-328 cells identified several significantly differentially-expressed genes, whose expression may be directly or indirectly regulated by miR-328. NSCLC Cell Line A549 analysis: Two-condition experiment, A549 GFP Control vs. A549 miR-328 cells. Biological replicates: 2 control replicates, 2 miR-328 replicates. miRNA microarray analysis was performed on RNA extracted from formalin-fixed paraffin-embedded (FFPE) NSCLC tumor specimens from 7 BM+ patients and 5 BM- patients.

ORGANISM(S): Homo sapiens

SUBMITTER: Julianna Ross

PROVIDER: E-GEOD-23019 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Background: There is a paucity of non-invasive markers for early detection of brain metastasis (BM) in patients with non-small cell lung cancer (NSCLC). Secretory proteomic approach based on quantitative tandem mass tag is believed to offer bright prospects for screening potential serum biomarkers for diseases. Methods: We used the secretory proteomics to identify up-regulated proteins in the highly brain metastatic cell line compared to the parental lung cancer cell line. Enzyme linked immunoassay and immunohistochemistry were performed on non-small cell lung cancer patients with brain metastasis and control samples from each cohort to verify the expression levels of candidate proteins. A logistic regression model was used to develop a biomarker panel composed of Cathepsin F (CTSF) and Fibulin-1 (FBLN1), and then an independent validation data set was used for verification. The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curve analysis. Changes in serum CTSF levels of patients were tracked to monitor the effect of treatment, and progression-free survival (PFS) and overall survival (OS) were analyzed to assess their prognostic relevance. Results: CTSF and FBLN1 levels were specifically upregulated in sera and tissues of patients with NSCLC BM. Importantly, the combined diagnostic performance of CTSF and FBLN1 was superior to their individual diagnostic performance (sensitivity and specificity). CTSF serum changes were found to reflect the therapeutic response of patients with NSCLC BM and the trends of resistance and progression were detected earlier than the MRI changes. Elevated expression of CTSF in NSCLC BM tissues was associated with poor PFS. Moreover, CTSF tissue expression was found to be an independent prognostic factor. Conclusions: CTSF and FBLN1 are potential novel and specific serum markers for early diagnosis of BM in patients with NSCLC. CTSF can also be used as a biomarker for monitoring therapeutic efficacy and prognostic assessment.

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Identification of differentially expressed miRNAs in BM+ vs. BM- lung cancer samples

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