Validation of a serum 4-microRNA signature for the detection of lung cancer

Diagnostic value of miR-200 family in non-small cell lung cancer: a meta-analysis

Aim: To investigate the diagnostic potential of the miR-200 family for early detection in non-small cell lung cancer (NSCLC). Materials & methods: A systematic search was conducted of PubMed, Embase and Web of Science databases to identify studies of the miR-200 family in NSCLC. Sixteen studies meeting the inclusion criteria were included in the analysis with a total of 20 cohorts. Results: The combined sensitivity and specificity reached 73% and 85%, with an area under the curve of 0.83. Notably, miR-200b introduced heterogeneity. Subgroup analysis highlighted miR-200a and miR-141 as more sensitive, while blood-derived miRNAs showed slightly lower accuracy. Conclusion: The miR-200 family, predominantly assessed in blood, exhibits significant diagnostic potential for NSCLC, especially in distinguishing it from benign diseases.

Circulating small extracellular vesicles microRNAs plus CA-125 for treatment stratification in advanced ovarian cancer

BACKGROUND

No residual disease (R0 resection) after debulking surgery is the most critical independent prognostic factor for advanced ovarian cancer (AOC). There is an unmet clinical need for selecting primary or interval debulking surgery in AOC patients using existing prediction models.

METHODS

RNA sequencing of circulating small extracellular vesicles (sEVs) was used to discover the differential expression microRNAs (DEMs) profile between any residual disease (R0, n = 17) and no residual disease (non-R0, n = 20) in AOC patients. We further analyzed plasma samples of AOC patients collected before surgery or neoadjuvant chemotherapy via TaqMan qRT-PCR. The combined risk model of residual disease was developed by logistic regression analysis based on the discovery-validation sets.

RESULTS

Using a comprehensive plasma small extracellular vesicles (sEVs) microRNAs (miRNAs) profile in AOC, we identified and optimized a risk prediction model consisting of plasma sEVs-derived 4-miRNA and CA-125 with better performance in predicting R0 resection. Based on 360 clinical human samples, this model was constructed using least absolute shrinkage and selection operator (LASSO) and logistic regression analysis, and it has favorable calibration and discrimination ability (AUC:0.903; sensitivity:0.897; specificity:0.910; PPV:0.926; NPV:0.871). The quantitative evaluation of Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) suggested that the additional predictive power of the combined model was significantly improved contrasted with CA-125 or 4-miRNA alone (NRI = 0.471, IDI = 0.538, p < 0.001; NRI = 0.122, IDI = 0.185, p < 0.01).

CONCLUSION

Overall, we established a reliable, non-invasive, and objective detection method composed of circulating tumor-derived sEVs 4-miRNA plus CA-125 to preoperatively anticipate the high-risk AOC patients of residual disease to optimize clinical therapy.

MicroRNA biomarkers and their use in evaluating the prognosis of lung cancer

OBJECTIVE

We aim to use the microRNA (miRNA, micro-ribonucleic acid) data of lung cancer tissues to establish a miRNA biomarker database for lung cancer that can be used for marker screening and analysis of lung cancer prognosis.

METHODS

We obtained lung cancer-related data from The Cancer Genome Atlas (TCGA) and analyzed the miRNA expression profiles of lung cancer tissues and normal tissues using bioinformatics techniques to develop a new composite miRNA-based model for the prognostic assessment of lung cancer. The predictive power of this model was verified and evaluated based on grouping of data. We also performed RT-qPCR using lung cancer tissues from patients diagnosed with lung cancer.

RESULTS

There was a significant difference between the miRNA expression profiles of lung cancer tissues and normal tissues adjacent to the cancerous lesions. The prognostic survival of patients with lung cancer was closely related to onset age and staging (p = 0.012) but was not related to gender (p = 0.39) and race (p = 0.51). Using three methods of survival model construction, we identified three miRNA composites, namely hsa-mir-21, hsa-mir-141, and has-mir-490, as markers for the prognosis of lung cancer. As confirmed by RT-qPCR, the expressions of hsa-miR-21-5p and hsa-miR-141-5p were upregulated, whereas hsa-miR-490-3p expression was downregulated in lung cancer lesion tissues.

CONCLUSION

The three miRNA composites identified, namely hsa-mir-21, hsa-mir-141, and hsa-mir-490, have the potential to serve as novel prognostic biomarkers and therapeutic targets for lung cancer.

A test of miR-128-3p and miR-33a-5p in serum exosome as biomarkers for auxiliary diagnosis of non-small cell lung cancer

Background

Lung cancer is the malignant tumor with the highest incidence and mortality rate in the world today, and non-small cell lung cancer (NSCLC) is its most common type. However, there is still a paucity of specific tumor markers for lung cancer screening. Herein, we detected and compared the levels of miR-128-3p and miR-33a-5p in serum exosomes of NSCLC patients and healthy volunteers, with the aim of identifying suitable exosomal microRNAs (miRNAs) as tumor biomarkers, and explored their value in the auxiliary diagnosis of NSCLC.

Methods

All participants were recruited from September 1, 2022 to December 30, 2022, and met the inclusion criteria. The case group included 20 patients with lung nodules who were highly suspected of having lung cancer (two cases were excluded). A total of 18 healthy volunteers (control group) were also enrolled. Blood samples were collected in both the case group before surgery and in the control group. Quantitative real-time polymerase chain reaction method was used to detect the expression of miR-128-3p and miR-33a-5p in serum exosomes. The main indicators of statistical analysis included the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity.

Results

Compared with the healthy control group, the NSCLC case group had significantly lower expression levels of serum exosome miR-128-3p and miR-33a-5p (P<0.01, P<0.001), and there was a significant positive correlation between the two exosome miRNAs (r=0.848, P<0.01). The AUC values of miR-128-3p alone and miR-33a-5p alone in distinguishing case group and control group were 0.789 [95% confidence interval (CI): 0.637-0.940; sensitivity: 61.1%; specificity: 94.4%; P=0.003] and 0.821 (95% CI: 0.668-0.974; sensitivity: 77.8%; specificity: 83.3%; and P=0.001), respectively. The combination of miR-128-3p and miR-33a-5p had an AUC of 0.855 (95% CI: 0.719-0.991; P<0.001) for distinguishing case group and control group, which was greater than the AUC values of miR-128-3p alone and miR-33a-5p alone (cut-off value: 0.034; sensitivity: 83.3%; and specificity: 88.9%). However, there was no significant difference in the AUC among these three groups (P>0.05).

Conclusions

Serum exosome miR-128-3p and miR-33a-5p showed good performance in NSCLC screening and may be used as new biomarkers for large-scale NSCLC screening.

Contributions of Circulating microRNAs for Early Detection of Lung Cancer

There is unmet need to develop circulating biomarkers that would enable earlier interception of lung cancer when more effective treatment options are available. Here, a set of 30 miRNAs, selected from a review of the published literature were assessed for their predictive performance in identifying lung cancer cases in the pre-diagnostic setting. The 30 miRNAs were assayed using sera collected from 102 individuals diagnosed with lung cancer within one year following blood draw and 212 controls matched for age, sex, and smoking status. The additive performance of top-performing miRNA candidates in combination with a previously validated four-protein marker panel (4MP) consisting of the precursor form of surfactant protein B (Pro-SFTPB), cancer antigen 125 (CA125), carcinoembryonic antigen (CEA) and cytokeratin-19 fragment (CYFRA21-1) was additionally assessed. Of the 30 miRNAs evaluated, five (miR-320a-3p, miR-210-3p, miR-92a-3p, miR-21-5p, and miR-140-3p) were statistically significantly (Wilcoxon rank sum test p < 0.05) elevated in case sera compared to controls, with individual AUCs ranging from 0.57−0.62. Compared to the 4MP alone, the combination of 3-miRNAs + 4MP improved sensitivity at 95% specificity by 19.1% ((95% CI of difference 0.0−28.6); two-sided p: 0.006). Our findings demonstrate utility for miRNAs for early detection of lung cancer in combination with a four-protein marker panel.

The impact of the lung EDRN-CVC on Phase 1, 2, & 3 biomarker validation studies

The Early Detection Research Network’s (EDRN) purpose is to discover, develop and validate biomarkers and imaging methods to detect early-stage cancers or at-risk individuals. The EDRN is composed of sites that fall into four categories: Biomarker Developmental Laboratories (BDL), Biomarker Reference Laboratories (BRL), Clinical Validation Centers (CVC) and Data Management and Coordinating Centers. Each component has a crucial role to play within the mission of the EDRN. The primary role of the CVCs is to support biomarker developers through validation trials on promising biomarkers discovered by both EDRN and non-EDRN investigators. The second round of funding for the EDRN Lung CVC at Vanderbilt University Medical Center (VUMC) was funded in October 2016 and we intended to accomplish the three missions of the CVCs: To conduct innovative research on the validation of candidate biomarkers for early cancer detection and risk assessment of lung cancer in an observational study; to compare biomarker performance; and to serve as a resource center for collaborative research within the Network and partner with established EDRN BDLs and BRLs, new laboratories and industry partners. This report outlines the impact of the VUMC EDRN Lung CVC and describes the role in promoting and validating biological and imaging biomarkers.

Identification of a 7-miRNA signature for predicting the prognosis of patients with lung adenocarcinoma

The role of microRNAs (miRNAs) in tumor diagnosis and patients’ prognosis has recently gained extensive research attention. This study was designed to analyze miRNA in lung adenocarcinoma (LUAD) using bioinformatics analysis and to identify novel biomarkers to predict overall survival (OS) for LUAD patients. Differential miRNA expression analysis was performed on LUAD, and normal tissues were extracted from The Cancer Genome Atlas (TCGA). Univariate Cox risk regression and least absolute shrinkage and selection operator (LASSO) Cox analysis were used to screen prognostic miRNAs and develop a risk score model. The prognostic performance of the system was examined utilizing the Kaplan–Meier and receiver operating characteristic (ROC) curves. Independent prognostic factors of LUAD were determined by multivariate Cox regression analysis. Nomogram was constructed according to the independent prognostic factors to evaluate the patients’ one-, three- and five-year OS. A 7-miRNA signature based on miR-584-5p, miR-31-3p, miR-490-3, miR-4661-5p, miR-30e-5p, miR-582-5p, and miR-148a-3p was established. To categorize patients into high- and low-risk groups, the risk score was computed. The OS of the low-risk group was significantly longer than the high-risk group, and the signature showed high sensitivity and specificity in anticipating the one-, three- and five-year OS. The system was an independent factor in predicting the OS of LUAD patients and performed better when combined with the N stage in nomogram. A 7-miRNA signature developed in this study could accurately predict LUAD survival.

miRNAs in lung cancer. A systematic review identifies predictive and prognostic miRNA candidates for precision medicine in lung cancer

Lung cancer (LC) is the leading cause of cancer-related death worldwide and miRNAs play a key role in LC development. To better diagnose LC and to predict drug treatment responses we evaluated 228 articles encompassing 16,697 patients and 12,582 healthy controls. Based on the criteria of ≥3 independent studies and a sensitivity and specificity of >0.8 we found blood-borne miR-20a, miR-10b, miR-150, and miR-223 to be excellent diagnostic biomarkers for non-small cell LC whereas miR-205 is specific for squamous cell carcinoma. The systematic review also revealed 38 commonly regulated miRNAs in tumor tissue and the circulation, thus enabling the prediction of histological subtypes of LC. Moreover, theranostic biomarker candidates with proven responsiveness to checkpoint inhibitor treatments were identified, notably miR-34a, miR-93, miR-106b, miR-181a, miR-193a-3p, and miR-375. Conversely, miR-103a-3p, miR-152, miR-152-3p, miR-15b, miR-16, miR-194, miR-34b, and miR-506 influence programmed cell death-ligand 1 and programmed cell death-1 receptor expression, therefore providing a rationale for the development of molecularly targeted therapies. Furthermore, miR-21, miR-25, miR-27b, miR-19b, miR-125b, miR-146a, and miR-210 predicted response to platinum-based treatments. We also highlight controversial reports on specific miRNAs. In conclusion, we report diagnostic miRNA biomarkers for in-depth clinical evaluation. Furthermore, in an effort to avoid unnecessary toxicity we propose predictive biomarkers. The biomarker candidates support personalized treatment decisions of LC patients and await their confirmation in randomized clinical trials.

Serum Exosomes and Their miRNA Load-A Potential Biomarker of Lung Cancer

Early detection of lung cancer in screening programs is a rational way to reduce mortality associated with this malignancy. Low-dose computed tomography, a diagnostic tool used in lung cancer screening, generates a relatively large number of false-positive results, and its complementation with molecular biomarkers would greatly improve the effectiveness of such programs. Several biomarkers of lung cancer based on different components of blood, including miRNA signatures, were proposed. However, only a few of them have been positively validated in the context of early cancer detection yet, which imposes a constant need for new biomarker candidates. An emerging source of cancer biomarkers are exosomes and other types of extracellular vesicles circulating in body fluids. Hence, different molecular components of serum/plasma-derived exosomes were tested and showed different levels in lung cancer patients and healthy individuals. Several studies focused on the miRNA component of these vesicles. Proposed signatures of exosome miRNA had promising diagnostic value, though none of them have yet been clinically validated. These signatures involved a few dozen miRNA species overall, including a few species that recurred in different signatures. It is worth noting that all these miRNA species have cancer-related functions and have been associated with lung cancer progression. Moreover, a few of them, including known oncomirs miR-17, miR-19, miR-21, and miR-221, appeared in multiple miRNA signatures of lung cancer based on both the whole serum/plasma and serum/plasma-derived exosomes.

MiR-22-3p suppresses cell growth via MET/STAT3 signaling in lung cancer

MiR-22-3p has been reported to be down-regulated in several cancers, but its expression pattern and roles in lung cancer is unclear. Given the crucial role of microRNAs in cancer progression, we examined the expression and function of miR-22-3p in lung adenocarcinoma. MiR-22-3p expression in lung cancer tissues and cell lines was measured by qRT-PCR. Cell proliferation was measured by WST-1 and colony formation assays were used to reveal the role of miR-22-3p in lung cancer in vitro. MiR-22-3p was notably down-regulated in lung cancer tissues as compared to normal lung tissues, but it was not associated with the clinical characteristics of tumor stage, differentiation and patient's smoking status. Colony formation ability and cell proliferation were suppressed by miR-22-3p mimics in lung cancer cell lines. Mechanistically, miR-22-3p mimics could reduce MET and STAT3 protein expression and induce apoptosis as measured by PARP protein. We conclude that miR-22-3p may play a tumor suppressor role via inhibiting MET-STAT3 signaling and have potential to be a therapeutic target and biomarker in lung adenocarcinoma.

Circulating miR-130 is a potential bio signature for early prognosis of acute myocardial infarction

Background

As distinctive leading reasons of death globally, acute myocardial infarction (AMI). Accounts for major death ratio, caused by coronary artery disease (CAD). Its diagnosis relies on the presenting clinical symptoms, electrocardiograms (ECGs), and levels of circulating biomarkers. Recent studies have implicated microRNAs (miRNAs) in the pathogenesis of many diseases, including AMI. The present study inquire into feature value of miR-130 in AMI patients.

Methods

levels of expression of miR-130 in patient plasma, considered through simultaneous quantitative polymerase chain reaction (qRT-PCR). The method used for determining Plasma cardiac troponin I (cTnI) & creatine kinase-MB(CK-MB) degree set on by enzyme-linked immunosorbent assay (ELISA). The diagnostic value of miR-130 was measured using a receiver operating characteristic (ROC) curve.

Results

Plasma miR-130, cTnI, and CK-MB levels exist remarkably inflated in the AMI classification in comparison with control category (P<0.05). MiR-130 expression peaked 6 hours after disease onset, earlier than cTnI and CK-MB. The level of expression of miR-130 6 hours after disease onset was positively correlated with cTnI and CK-MB levels 12 hours after onset. The optimal cut-off point for miR-130 in peripheral blood, sensitivity, and specificity were 1.58 ng/mL, 82.5% and 77.5%, respectively. The area under curve (AUC) was 0.922.

Conclusions

These results indicate that circulating miR-130 holds great promise as an effective biomarker for diagnosing AMI earlier.

Hsa_circ_0006571 promotes spinal metastasis through sponging microRNA-138 to regulate sirtuin 1 expression in lung adenocarcinoma

Background

Circular RNAs (circRNAs) are known to participate in lung cancer. However, their role in spinal metastasis (SM) of lung adenocarcinoma remains elusive. In this study, we determined that hsa_circ_0006571 serves as a sponge for miR-138, which targets sirtuin 1 (Sirt1) in the development of SM.

Methods

A human circRNA microarray was performed to compare SM and lung adenocarcinoma samples. The expression of hsa_circ_0006571 and miR-138 was determined using quantitative polymerase chain reaction (qPCR) in vitro and in vivo. Cell proliferation was performed by Cell Counting Kit-8 (CCK-8) and apoptosis was analyzed by Annexin V/PI staining. RNA-pulldown and RNA immunoprecipitation (RIP) were used to analyze the interaction between hsa_circ_0006571. Tumor metastasis was determined through a xenograft experiment in vivo.

Results

Hsa_circ_0006571 was observed to be significantly upregulated in SM tissues through circRNA microarray and qPCR. We detected a lower expression of miR-138 in SM tissues compared with lung adenocarcinoma. Hsa_circ_0006571 silencing suppressed lung cancer cell proliferation and migration while promoting apoptosis. Hsa_circ_0006571 interacted with miR-138 to promote expression of Sirt1, leading to activation of epithelial-mesenchymal transition (EMT). Xenograft experiments showed that downregulation of hsa_circ_0006571 delayed the SM of lung adenocarcinoma cells via the miR-138-Sirt1 axis.

Conclusions

Hsa_circ_0006571 promoted tumor cell migration and invasion via the miR-138/Sirt1 pathway. Our observations indicate that circRNAs are possible novel therapeutic targets for SM of lung adenocarcinoma.

A three-miRNA panel in serum as a noninvasive biomarker for colorectal cancer detection

BACKGROUND

Circulating miRNAs have been proved to be promising biomarkers for disease detection in recent years. The present study aimed at exploring available serum miRNA biomarkers for the detection of colorectal cancer.

METHODS

A three-phase study was performed to select and validate candidate miRNAs with significant dysregulation in colorectal cancer using quantitative reverse transcription-polymerase chain reaction. This study recruited 137 colorectal cancer patients and 145 healthy controls. The diagnostic values of miRNAs were evaluated by receiver operating characteristic analysis. Bioinformatics analyses were utilized to predict target genes of miRNAs, and to conduct functional annotation and enrichment.

RESULTS

miR-30e-3p, miR-31-5p, miR-34b-3p and miR-146a-5p, miR-148a-3p and miR-192-5p were significantly dysregulated in colorectal cancer serum when compared with healthy controls. The panel composed of miR-30e-3p, miR-146a-5p, and miR-148a-3p exhibited strong diagnostic ability. The area under the receiver operating characteristic curve of the three-miRNA panel was 0.883, with a sensitivity of 0.800 and specificity of 0.787.

CONCLUSION

The present study identified a three-miRNA panel in serum with a strong diagnostic ability of colorectal cancer, which may be able to serve as a novel noninvasive biomarker for colorectal cancer detection.

RNA sequencing analysis of small cell lung cancer reveals candidate chemotherapy insensitivity long noncoding RNAs and microRNAs

BACKGROUND

The further progression of credible expression profiling analysis of genes continues to expand our understanding of the biological characteristics in lung cancer. In this study, RNA sequencing (RNA-Seq) was used to contrast the transcriptomics profiling of small cell lung cancer (SCLC) that acquired partial response (PR) and stable disease (SD)/progressive disease (PD) after first-line chemotherapy. We aimed to illuminate the underlying mechanisms of long noncoding RNAs (lncRNAs) and microRNAs (miRNAs) in the efficacy of SCLC first-line chemotherapy.

METHODS

Six male patients (mean age, 64.2 years) with SCLC were enrolled in this study. RNA-Seq was executed on the tumor tissues from 3 patients with PR outcome and 3 patients with SD or PD therapeutic effect after first-line chemotherapy.

RESULTS

RNA-Seq generated 26.67×106 (±8.7×106) reads in SCLC tissues [mean (±standard deviation)]. Analysis revealed that 64 lncRNAs had higher expression and 194 had lower expression in the PR group ≥2-fold (P<0.05). Three downregulated genes in the PR group [HOXA-AS3, cancer susceptibility 9 (CASC9), and KEGG] could have a role in the insensitivity of SCLC. A total of 1,303 differential miRNAs were defined between PR and the SD or PD SCLC group, while 520 miRNAs had higher expression, and 783 had lower expression in the PR group. Two lower expressed miRNAs in the PR group (miRNA 601 and miRNA 596) might be the key genes in SCLC chemotherapy insensitivity.

CONCLUSIONS

The expression of 3 gene (HOXA-AS3, CASC9, and KEGG) and 2 miRNAs (miRNA 601 and miRNA 596) were markedly decreased in SCLC patients who achieved PR. They thus might be the promising candidate genes in SCLC chemotherapy insensitivity.