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A plasma miRNA-based classifier for small cell lung cancer diagnosis [NanoString]

ABSTRACT: Objectives: Small cell lung cancer (SCLC) is characterized by poor prognosis and challenging diagnosis. Screening in high-risk smokers results in a reduction in lung cancer mortality, however, screening efforts are primarily focused on non-small cell lung cancer (NSCLC). SCLC diagnosis and surveillance remain significant challenges. The aberrant expression of circulating microRNAs (miRNAs/miRs) is reported in many tumors and can provide insights into the pathogenesis of tumor development and progression. Here, we conducted a comprehensive assessment of circulating miRNAs in SCLC with a goal of developing a miRNA-based biomarker classifier to assist in SCLC diagnoses. Materials and Methods: We profiled deregulated circulating cell-free miRNA in the plasma of SCLC patients. We tested selected miRs on a training cohort and created a classifier by integrating miRNA expression and patient clinical data. Finally, we applied the classifier on a validation dataset. Results: We determined that miR-375-3p can discriminate between SCLC and NSCLC patients, and between SCLC and Squamous Cell Carcinoma patients. Moreover, we found that a model comprising miR-375-3p, miR-320b, and miR-144-3p can be integrated with race and age to distinguish metastatic SCLC from a control group. Conclusion: This study proposes a miRNA-based biomarker classifier for SCLC that considers clinical demographics with specific cut offs to inform SCLC diagnosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE240758 | GEO | 2023/10/31

REPOSITORIES: GEO

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Project description:Limb-girdle muscular dystrophies (LGMDs) are a heterogeneous group of progressive and genetic neuromuscular disorders that involve weakness and wasting of predominantly pelvic and shoulder girdle muscles. More than 30 subtypes have been identified, with variable phenotype. In the early stages of the disease, these LGMD share common clinical and histopathological characteristics among different subtypes and with other neuromuscular disorders, complicating the disease-subtype identification and thus, lengthening the final diagnosis of the disease. In the present study, we try to identify by a non-invasive method a molecular signature including biochemical and epigenetic parameters with a potential value for LGMD patient prognosis and stratification. Circulating miRNome was obtained by smallRNA-seq in plasma samples from LGMD patients (n=6) and matched controls (n=6). Over-representation analysis (ORA) using GO terms and KEGG database was used to study the functional enrichment of target genes. Biochemical parameters related to calcium metabolism, hormonal status, and muscle metabolism were also analyzed in these patients. Thirteen differentially expressed miRs (FDR < 0.05) were able to separate each clinical group by hierarchical clustering. Indeed, most of differentially expressed miRs were up-regulated. Functional enrichment analysis of the target genes for the dysregulated miRs revealed that targets of up-regulated miRs modulated cell cycle and cancer related pathways, while targets of down-regulated miRs were involved in muscle tissue development, regeneration and senescence. Four of the circulating miRs (miR-19b-3p, miR-192-5p, miR-122-5p and miR 323-3p) were further validated by qPCR in LGMD and in the more frequent muscular dystrophies: Duchenne (DMD)(n=5) and facioscapulohumeral muscular dystrophy (FSHD)(n=4). Receiver operating characteristic curve analysis revealed high AUC values for selected miRs (1.0 for miR-19b-3p, miR-192-5p and miR-122-5p; 0.75 for miR-323-3p) suggesting that these miRs could be good biomarker candidates for LGMD. The covariates gender, age at disease onset, and ambulation did not correlate with the expression levels of these miRs. However, differential expression of miR-122-5p (≥10-60 fold, p< 0.0001), miR-192-5p (≥10-60 fold, p< 0.0001) and miR-323-3p (≤ 2-10 fold, p<0.05) levels compared to matched controls could discriminate LGMD from DMD or FSHD dystrophies. In addition, a strong correlation between some of these circulating miRs and biochemical variables such as CK, vitamin D3, ALP and PTH was found only in LGMD patients.

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A plasma miRNA-based classifier for small cell lung cancer diagnosis [NanoString]

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