Dataset Information

Identification of Circulating miR-762 as a Novel Diagnostic and Prognostic Biomarker for Non-Small Cell Lung Cancer.

ABSTRACT:

Background

MicroRNAs (miRNAs) have been demonstrated to play critical roles in tumorigenesis of non-small cell lung cancer (NSCLC), and circulating miRNAs are a valuable source of biomarkers for the clinical management of NSCLC. The aim of this study was to determine the value of serum miR-762 as a diagnostic and prognostic biomarker for NSCLC.

Methods

We examined circulating miR-762 expression in 148 NSCLC patients and 60 healthy individuals using the quantitative real-time polymerase chain reaction (qRT-PCR). The effect of miR-762 downregulation on the proliferative capacity of NSCLC cells were also explored.

Results

The serum miR-762 levels were significantly upregulated in NSCLC patients compared to the healthy individuals. Receiver operating characteristics (ROC) curve analysis revealed that circulating miR-762, carcinoembryonic antigen (CEA), CYFRA21-1 and a combination of these 3 biomarkers yield the areas under the curve (AUC) of 0.874, 0.826, 0.41 and 0.969, respectively. Interestingly, circulating miR-762 identified the NSCLC patients at the clinical stage I from healthy controls with an AUC value of 0.920. In addition, serum miR-762 expression was significantly correlated with clinical stage, lymph node metastasis, histological grade and gefitinib-resistance. The survival analysis showed that NSCLC patients in the high serum miR-762 group suffered worse overall survival and relapse-free survival than those in the low serum miR-762 group. The multivariate Cox proportional hazards regression analysis revealed high circulating miR-762 was an independent unfavorable prognostic factor. Downregulation of miR-762 significantly suppressed the proliferative capacity of NSCLC cells in vitro, and bioinformatic analysis of the potential downstream targets of miR-762 identified many important cancer-associated pathways.

Conclusions

In conclusion, serum miR-762 might serve as a promising diagnostic and prognostic biomarker for the NSCLC.

SUBMITTER: Chen L

PROVIDER: S-EPMC7745551 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identification of Circulating miR-762 as a Novel Diagnostic and Prognostic Biomarker for Non-Small Cell Lung Cancer.

Chen Lei L Li Yunxia Y Lu Jingshu J

Technology in cancer research & treatment 20200101

<h4>Background</h4>MicroRNAs (miRNAs) have been demonstrated to play critical roles in tumorigenesis of non-small cell lung cancer (NSCLC), and circulating miRNAs are a valuable source of biomarkers for the clinical management of NSCLC. The aim of this study was to determine the value of serum miR-762 as a diagnostic and prognostic biomarker for NSCLC.<h4>Methods</h4>We examined circulating miR-762 expression in 148 NSCLC patients and 60 healthy individuals using the quantitative real-time polym ...[more]

PMID: 33317398

Similar Datasets

Project description:BackgroundRoutine clinical surveillance involves serial radiographic imaging following radical surgery in localized non-small cell lung cancer (NSCLC). However, such surveillance can detect only macroscopic disease recurrence and is frequently inconclusive. We investigated if detection of ctDNA before and after resection of NSCLC identifies the patients with risk of relapse, and furthermore, informs about response to management.MethodsWe recruited a total of 77 NSCLC patients. A high-throughput 127 target-gene capture technology and a high-sensitivity circulating single-molecule amplification and resequencing technology (cSMART) assay were used to detect the somatic mutations in the tumor tissues as well as the plasma of NSCLC patients before and after surgery to monitor for minimal residual disease (MRD). Kaplan-Meier and Cox regression analysis were performed to evaluate the relapse-free survival (RFS) and overall survival (OS) of patients with predictor variables.ResultsPatients with a higher stage (III/IV) and preoperative ctDNA-positive status demonstrated a significant 2.8-3.4-fold risk and 3.8-4.0-fold risk for recurrence and death, respectively. Preoperative ctDNA-positive patients associated with a lower RFS (HR = 3.812, p = 0.0005) and OS (HR = 5.004, p = 0.0009). Postoperative ctDNA-positive patients also associated with a lower RFS (HR = 3.076, p = 0.0015) and OS (HR = 3.195, p = 0.0053). Disease recurrence occurred among 63.3% (19/30) of postoperative ctDNA-positive patients. Most of these patients 89.5% (17/19) had detectable ctDNA within 2 weeks after surgery and was identified in advance of radiographic findings by a median of 12.6 months.ConclusionAdvanced stage and preoperative ctDNA-positive are strong predictors of RFS and OS in localized NSCLC patients undergoing complete resection. Postoperative detection of ctDNA increases chance to detect early relapse, thus can fulfill an important role in stratifying patients for immediate further treatment with adjuvant and neoadjuvant therapy.

Project description:BACKGROUND: MicroRNAs are aberrantly expressed and correlate with tumourigenesis and the progression of solid tumours. The miR-200 family determines the epithelial phenotype of cancer cells and regulates invasiveness and migration. Thus, we hypothesised that the quantitative detection of the miR-200 family as epithelial-specific microRNAs in the blood could be a useful clinical biomarker for gastric cancer (GC). METHODS: We initially validated the expression levels of miR-200a, 200b, 200c and 141 in GC cell lines (n?=?2) and blood from healthy controls (n?=?19) using real-time quantitative reverse transcription PCR (qRT-PCR). The microarray expression profiles of the miR-200 family in 160 paired samples of non-tumour gastric mucosae and GC were downloaded through ArrayExpress and analysed. MiR-200c was selected for clinical validation. The qRT-PCR prospective assessment of miR-200c was performed using 67 blood samples (52 stage I-IV GC patients and 15 controls); the area under the receiver operating characteristic curve (AUC-ROC) was estimated. The Kaplan-Meier and Breslow-Wilcoxon tests were used to assess the correlation of miR-200c with overall and progression-free survival (OS and PFS). Multivariate analyses were performed using the Cox model. RESULTS: The miR-200c blood expression levels in GC patients were significantly higher than in normal controls (p?=?0.018). The AUC-ROC was 0.715 (p?=?0.012). The sensitivity, specificity and accuracy rates of 65.4%, 100% and 73.1%, respectively, were observed. The levels of miR-200c in the blood above the cutoff defined by the ROC curve was found in 17.6% of stage I-II GC patients, 20.6% of stage III patients and 67.7% of stage IV patients (p?<?0.001). The miR-200c expression levels were not associated with clinical or pathological characteristics or recent surgical procedures. There was a correlation (p?=?0.016) with the number of lymph node metastases and the increased expression levels of miR-200c in blood were significantly associated with a poor OS (median OS, 9 vs 24?months; p?=?0.016) and PFS (median PFS, 4 vs 11?months; p?=?0.044). Multivariate analyses confirmed that the upregulation of miR-200c in the blood was associated with OS (HR?=?2.24; p?=?0.028) and PFS (HR?=?2.27; p?=?0.028), independent of clinical covariates. CONCLUSIONS: These data suggest that increased miR-200c levels are detected in the blood of gastric cancer patients. MiR-200c has the potential to be a predictor of progression and survival.

Dataset Information

Identification of Circulating miR-762 as a Novel Diagnostic and Prognostic Biomarker for Non-Small Cell Lung Cancer.

Background

Methods

Results

Conclusions

Publications

Identification of Circulating miR-762 as a Novel Diagnostic and Prognostic Biomarker for Non-Small Cell Lung Cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets